122 Learning Analyst jobs in the United States

Senior Learning Analyst

95828 Florin, California Pacific ExecSearch

Posted 1 day ago

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Job Description

Job Description

We are currently recruiting for a Senior Learning Analyst to join one of Sacramento's leading institutions. This is an exciting opportunity to work with a reputable organization that serves as a cornerstone of the region's corporate community. The position is a six-month contract, with the possibility of permanent hire for well-qualified candidates. The Senior Learning Analyst plays a pivotal role in advancing the organization objectives by analyzing data across Leadership and Enterprise Development programs, generating insightful reports, and recommending strategic improvements. This role is also responsible for managing analytics frameworks and collaborating across departments to enhance the effectiveness of training platforms and drive measurable program outcomes.

The qualified candidate will have a minimum of five years' experience in data science and analytics. Technical proficiency in Power BI, SQL Server, and demonstrated ability to automate workflows and integrations is required. Experience with Learning Management Systems (LMS) such as Dayforce is preferred.

Pay to $40.00/hour.

PRIMARY RESPONSIBILITIES:
  • Provide subject matter expertise across the employee lifecycle, leveraging reporting and data science to deliver cutting-edge insights and support strategic innovation.
  • Continuously enhance existing analytics products to align with business and talent strategy priorities; drive scalable, data-informed solutions.
  • Partner with organization leadership on budgeting, performance analysis, and external learning initiatives; present findings and influence decisions through monthly reporting.
  • Generate reports from diverse applications and sources to deliver actionable insights; conduct ongoing program analysis using scores, evaluations, and stakeholder feedback.
  • Build and maintain KPI dashboards and program-level reports; manage LMS administration and assess reporting processes for improvement and effectiveness.
  • Develop user procedures and provide training on reporting tools; uphold regulatory knowledge in BSA and AML laws; demonstrate strong communication, collaboration, and adaptability across teams.
SKILLS AND QUALIFICATIONS:
  • Bachelor's degree in a relevant field is required.
  • Minimum of five years in data science and analytics roles.
  • Skilled in Power BI, SQL Server, APIs, Zapier, and SFTP protocols; proficient in Microsoft Office, especially Excel.
  • Familiar with Learning Management Systems such as Dayforce; comfortable with training metrics linked to business outcomes.
  • Strong analytical and mathematical abilities, organizational and communication skills, project management experience, and the capacity to work independently or collaboratively across departments; must handle data confidentiality with discretion
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Senior Learning Analyst

94039 Mountainview, California Coursera

Posted 2 days ago

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Job Description

Coursera was launched in 2012 by Andrew Ng and Daphne Koller with a mission to provide universal access to world-class learning. It is now one of the largest online learning platforms in the world, with183 million registered learners as of June 30, 2025 . Coursera partners withover 350 leading university and industry partners to offer a broad catalog of content and credentials, including courses, Specializations, Professional Certificates, and degrees. Coursera's platform innovations enable instructors to deliver scalable, personalized, and verified learning experiences to their learners. Institutions worldwide rely on Coursera to upskill and reskill their employees, citizens, and students in high-demand fields such as GenAI, data science, technology, and business. Coursera is a Delaware public benefit corporation and a B Corp.

We're a global platform aiming to transform lives through learning by offering transformative courses, certificates, and degrees that empower learners worldwide to advance their careers through skill mastery. We're looking for inventors, innovators, and lifelong learners eager to shape the future of education. If you're ready to build the global programs and tools that fuel the power of online learning, join Team Coursera.

At Coursera, we are committed to building a globally diverse team and are thrilled to extend employment opportunities to individuals in any country where we have a legal entity. We require candidates to possess eligible working rights and have a compatible timezone overlap with their team to facilitate seamless collaboration.

Coursera has a commitment to enabling flexibility and workspace choices for employees. Our interviews and onboarding are entirely virtual, providing a smooth and efficient experience for our candidates. As an employee, we enable you to select your main way of working, whether it's from home, one of our offices or hubs, or a co-working space near you.

Job Overview:

Coursera's Content & Credentials org empowers learners, partners, and enterprise customers to achieve their goals. We improve the learning experience through innovative systems, scalable solutions, and close collaboration with partners and vendors to deliver high-quality content. As champions of the Coursera community, we align cross-functional teams to drive continuous improvement across the platform.

Within the Content & Credentials org, the Teaching & Learning team brings together learning design experts and researchers who provide best practices, training, and consulting for content development. We work closely with partners and content creators to design transformational learning experiences, using research, experimentation, and data insights to improve learner satisfaction, engagement, and outcomes.

About the Role:

The Learning Analyst is a full-time, U.S.-based remote position dedicated to enhancing partner success and fostering data-driven strategies for Coursera's strategic accounts. In this role, you will be instrumental in creating high-impact, skill-aligned learning experiences that address learner needs and adapt to evolving market demands.

To achieve this, you will take a client-facing approach, collaborating with internal Coursera teams and external partners to analyze data patterns in their courses. You will directly perform data analysis and provide strategic recommendations for revisions, portfolio updates, and more, and present to clients. Your contributions will be vital in driving improvements in learning outcomes through actionable data insights.

With a strong foundation in data analysis and reporting, you will be playing a crucial role in analyzing educational offerings and improving our partner's learning outcomes through actionable data insights.

Responsibilities:

  • Data Analysis and Reporting: Assist in collecting, analyzing, and interpreting datasets related to student engagement and learning outcomes.
  • Data Visualizations: Support the creation of data visualizations and reports that succinctly communicate findings.
  • Collaboration: Work closely with the Learning Analytics Lead and learning designers to apply data insights to curriculum design and instructional methodologies.
  • Collaboration: Participate in cross-functional teams to develop adaptive learning and assessment tools. Consult with partners on findings and recommendations; conduct webinars with clients to explain results.
  • Learning Analytics Application: Contribute to the development of predictive models to improve student learning experiences.
  • Learning Analytics Application: Help ensure the reliability and validity of learning analytics efforts through sound research methodologies.

Basic Qualifications:

  • 4+ years of relevant experience in a data analytics role that focuses on human behavior and presenting to non-technical audiences, preferably within an online education environment.
  • 2+ years experience in using SQL or Python for data querying and cleaning in a Databricks, Snowflake or similar environment
  • Proficiency in statistical software (e.g., R, SAS, SPSS, or similar).
  • 2+ years experience with data visualization tools (e.g., Tableau, Power BI), preferably with LMS data integration.
  • A Bachelor's or Master's degree in a field that focuses on data analytics to understand human behavior.
  • Strong communication abilities and proficient in leading discussions and presentations with clients and stakeholders.

Preferred Qualifications:

  • A basic understanding of assessment/psychometrics.
  • A degree in Data Science, Educational Psychology, Learning Analytics, or a related field.
  • Experience with Python for statistical modeling.

If this opportunity interests you, you might like these courses on Coursera:

  • Using Databases with Python
  • The Nuts and Bolts of Machine Learning
  • Reinforcement Learning

(FOR US ROLES ONLY)

Compensation

US Zone 1

This role is not available in Zone 1

US Zone 2

$105,000 - $30,000 USD

US Zone 3

96,000 - 120,000 USD

The range(s) listed above is the expected annual base salary for this role, subject to change.

Salary is just one component of Coursera's total rewards package. All regular employees are also eligible for a bonus program and equity in the form of RSU's.

A number of factors are taken into account when determining pay, which includes: job level, location, training/education, business need, skill set and internal equity.

Current Zone Locations:

  • Zone 1- San Francisco Metro, New York City Metro or Seattle Metro
  • Zone 2 - CA (outside of SF Bay Area), CO, CT, DC, GA, IL, MA, MD, NY/NJ (other than NYC), OR, RI, TX, VA, WA (other than Seattle)
  • Zone 3 - all other US locations

#LI-CV1 Coursera is anEqual Employment Opportunity Employer and considers all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, age, marital status, national origin, protected veteran status, disability, or any other legally protected class.

If you are an individual with a disability and require a reasonable accommodation to complete any part of the application process, please contact us at

For California Candidates, please review our CCPA Applicant Notice here.
For our Global Candidates, please review our GDPR Recruitment Notice here.
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Machine Learning Analyst Sr

43224 Columbus, Ohio PNC

Posted 11 days ago

Job Viewed

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Job Description

Position Overview

At PNC, our people are our greatest differentiator and competitive advantage in the markets we serve. We are all united in delivering the best experience for our customers. We work together each day to foster an inclusive workplace culture where all of our employees feel respected, valued and have an opportunity to contribute to the company's success.

As a Machine Learning Analyst Sr. within PNC's AML and Independent Risk Management organization, you can be based in Pittsburgh, PA, Cleveland, OH, Columbus, OH, Cincinnati, OH, Chicago, IL, Birmingham, AL, Washington DC, or New York City, NY.

This position is primarily based in a PNC location. Responsibilities require time in the office or in the field on a regular basis. Some responsibilities may be performed remotely, at manager's discretion.

PNC is one of the largest diversified financial services institutions in the United States. At PNC we lean in to being Brilliantly Boring, and what could be more Brilliantly Boring than Anti-Money Laundering (AML)? The AML Data Science Solutions team is responsible for overseeing the use of artificial intelligence (AI) / machine learning (ML) to identify potentially suspicious behavior and assist sanctions enforcement. Collaborating with model developers and business users, our team takes a holistic view of our ML ecosystem. We aim to leverage the latest research in reliable and trustworthy machine learning to build a strong program that stands on strong evidence.

The successful candidate will work on a variety of challenges aimed at all parts of the MLOps cycle. Expect to help the team test out the latest science to assess its utility, explore avenues for boosting detectability, and develop approaches for improving overall observability and explainability of existing models. This role is particularly suited to candidates with an analytic background who are motivated to work on societally important business problems.

Preferred qualifications:

· Master's Degree or above in data science, mathematics, computer science, or similar field

· Experience in AI / ML model assessment, testing, or validation

· Fluency in SQL and Python + scikit-learn. Experience with PyTorch, Pyro, and/or other AI/ML/data science languages and libraries is a plus.

Job Description

  • Independently performs advanced quantitative analyses and model development to drive decision-making by running quantitative strategies. Makes recommendations based on analyses.

  • Analyzes and develops new model frameworks by supporting the line of business. Refines, monitors, and reviews existing models. Conducts on-going communication with model owners and model developers during the course of the review. Works with larger, more complex datasets to create models.

  • Performs quantitative analysis and develops complex reports. Performs qualitative and quantitative assessments of all aspects of models including theoretical aspects, model design and implementation as well as data quality and integrity. Analyzes complex data and associated quantitative analysis. Makes recommendations based on findings from data analytics.

  • Uses quantitative tools and techniques to measure and analyze model risks and reaches conclusions on strengths and limitations of the model.

  • Prepares and analyzes detailed documents for validation and regulatory compliance, using applicable templates.

PNC Employees take pride in our reputation and to continue building upon that we expect our employees to be:

  • Customer Focused - Knowledgeable of the values and practices that align customer needs and satisfaction as primary considerations in all business decisions and able to leverage that information in creating customized customer solutions.

  • Managing Risk - Assessing and effectively managing all of the risks associated with their business objectives and activities to ensure they adhere to and support PNC's Enterprise Risk Management Framework.

Qualifications

Successful candidates must demonstrate appropriate knowledge, skills, and abilities for a role. Listed below are skills, competencies, work experience, education, and required certifications/licensures needed to be successful in this position.

Preferred Skills

Analytical Thinking, Credit Risks, Data Analytics, Financial Analysis, Model Development, Operational Risks, Quantitative Models, Risk Appetite

Competencies

Bank Quantitative Analysis, Consulting, Data Gathering and Reporting, Effective Communications, Predictive Analytics, Quantitative Techniques, Regulatory Environment - Financial Services, Testing

Work Experience

Roles at this level typically require a university / college degree, with 3+ years of relevant / direct industry experience. Certifications are often desired. In lieu of a degree, a comparable combination of education, job specific certification(s), and experience (including military service) may be considered.

Education

Bachelors

Certifications

No Required Certification(s)

Licenses

No Required License(s)

Pay Transparency

Base Salary: $55,000.00 - $157,300.00

Salaries may vary based on geographic location, market data and on individual skills, experience, and education. This role is incentive eligible with the payment based upon company, business and/or individual performance.

Application Window

Generally, this opening is expected to be posted for two business days from 06/13/2025, although it may be longer with business discretion.

Benefits

PNC offers a comprehensive range of benefits to help meet your needs now and in the future. Depending on your eligibility, options for full-time employees include: medical/prescription drug coverage (with a Health Savings Account feature), dental and vision options; employee and spouse/child life insurance; short and long-term disability protection; 401(k) with PNC match, pension and stock purchase plans; dependent care reimbursement account; back-up child/elder care; adoption, surrogacy, and doula reimbursement; educational assistance, including select programs fully paid; a robust wellness program with financial incentives.

In addition, PNC generally provides the following paid time off, depending on your eligibility: maternity and/or parental leave; up to 11 paid holidays each year; 8 occasional absence days each year, unless otherwise required by law; between 15 to 25 vacation days each year, depending on career level; and years of service.

To learn more about these and other programs, including benefits for full time and part-time employees, visit Your PNC Total Rewards ( .

Disability Accommodations Statement

If an accommodation is required to participate in the application process, please contact us via email at . Please include "accommodation request" in the subject line title and be sure to include your name, the job ID, and your preferred method of contact in the body of the email. Emails not related to accommodation requests will not receive responses. Applicants may also call and say "Workday" for accommodation assistance. All information provided will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

At PNC we foster an inclusive and accessible workplace. We provide reasonable accommodations to employment applicants and qualified individuals with a disability who need an accommodation to perform the essential functions of their positions.

Equal Employment Opportunity (EEO)

PNC provides equal employment opportunity to qualified persons regardless of race, color, sex, religion, national origin, age, sexual orientation, gender identity, disability, veteran status, or other categories protected by law.

This position is subject to the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA) and, for any registered role, the Secure and Fair Enforcement for Mortgage Licensing Act of 2008 (SAFE Act) and/or the Financial Industry Regulatory Authority (FINRA), which prohibit the hiring of individuals with certain criminal history.

California Residents

Refer to the California Consumer Privacy Act Privacy Notice ( to gain understanding of how PNC may use or disclose your personal information in our hiring practices.

View Now

Machine Learning Analyst Sr

10261 New York, New York PNC

Posted 11 days ago

Job Viewed

Tap Again To Close

Job Description

Position Overview

At PNC, our people are our greatest differentiator and competitive advantage in the markets we serve. We are all united in delivering the best experience for our customers. We work together each day to foster an inclusive workplace culture where all of our employees feel respected, valued and have an opportunity to contribute to the company's success.

As a Machine Learning Analyst Sr. within PNC's AML and Independent Risk Management organization, you can be based in Pittsburgh, PA, Cleveland, OH, Columbus, OH, Cincinnati, OH, Chicago, IL, Birmingham, AL, Washington DC, or New York City, NY.

This position is primarily based in a PNC location. Responsibilities require time in the office or in the field on a regular basis. Some responsibilities may be performed remotely, at manager's discretion.

PNC is one of the largest diversified financial services institutions in the United States. At PNC we lean in to being Brilliantly Boring, and what could be more Brilliantly Boring than Anti-Money Laundering (AML)? The AML Data Science Solutions team is responsible for overseeing the use of artificial intelligence (AI) / machine learning (ML) to identify potentially suspicious behavior and assist sanctions enforcement. Collaborating with model developers and business users, our team takes a holistic view of our ML ecosystem. We aim to leverage the latest research in reliable and trustworthy machine learning to build a strong program that stands on strong evidence.

The successful candidate will work on a variety of challenges aimed at all parts of the MLOps cycle. Expect to help the team test out the latest science to assess its utility, explore avenues for boosting detectability, and develop approaches for improving overall observability and explainability of existing models. This role is particularly suited to candidates with an analytic background who are motivated to work on societally important business problems.

Preferred qualifications:

· Master's Degree or above in data science, mathematics, computer science, or similar field

· Experience in AI / ML model assessment, testing, or validation

· Fluency in SQL and Python + scikit-learn. Experience with PyTorch, Pyro, and/or other AI/ML/data science languages and libraries is a plus.

Job Description

  • Independently performs advanced quantitative analyses and model development to drive decision-making by running quantitative strategies. Makes recommendations based on analyses.

  • Analyzes and develops new model frameworks by supporting the line of business. Refines, monitors, and reviews existing models. Conducts on-going communication with model owners and model developers during the course of the review. Works with larger, more complex datasets to create models.

  • Performs quantitative analysis and develops complex reports. Performs qualitative and quantitative assessments of all aspects of models including theoretical aspects, model design and implementation as well as data quality and integrity. Analyzes complex data and associated quantitative analysis. Makes recommendations based on findings from data analytics.

  • Uses quantitative tools and techniques to measure and analyze model risks and reaches conclusions on strengths and limitations of the model.

  • Prepares and analyzes detailed documents for validation and regulatory compliance, using applicable templates.

PNC Employees take pride in our reputation and to continue building upon that we expect our employees to be:

  • Customer Focused - Knowledgeable of the values and practices that align customer needs and satisfaction as primary considerations in all business decisions and able to leverage that information in creating customized customer solutions.

  • Managing Risk - Assessing and effectively managing all of the risks associated with their business objectives and activities to ensure they adhere to and support PNC's Enterprise Risk Management Framework.

Qualifications

Successful candidates must demonstrate appropriate knowledge, skills, and abilities for a role. Listed below are skills, competencies, work experience, education, and required certifications/licensures needed to be successful in this position.

Preferred Skills

Analytical Thinking, Credit Risks, Data Analytics, Financial Analysis, Model Development, Operational Risks, Quantitative Models, Risk Appetite

Competencies

Bank Quantitative Analysis, Consulting, Data Gathering and Reporting, Effective Communications, Predictive Analytics, Quantitative Techniques, Regulatory Environment - Financial Services, Testing

Work Experience

Roles at this level typically require a university / college degree, with 3+ years of relevant / direct industry experience. Certifications are often desired. In lieu of a degree, a comparable combination of education, job specific certification(s), and experience (including military service) may be considered.

Education

Bachelors

Certifications

No Required Certification(s)

Licenses

No Required License(s)

Pay Transparency

Base Salary: $55,000.00 - $157,300.00

Salaries may vary based on geographic location, market data and on individual skills, experience, and education. This role is incentive eligible with the payment based upon company, business and/or individual performance.

Application Window

Generally, this opening is expected to be posted for two business days from 06/13/2025, although it may be longer with business discretion.

Benefits

PNC offers a comprehensive range of benefits to help meet your needs now and in the future. Depending on your eligibility, options for full-time employees include: medical/prescription drug coverage (with a Health Savings Account feature), dental and vision options; employee and spouse/child life insurance; short and long-term disability protection; 401(k) with PNC match, pension and stock purchase plans; dependent care reimbursement account; back-up child/elder care; adoption, surrogacy, and doula reimbursement; educational assistance, including select programs fully paid; a robust wellness program with financial incentives.

In addition, PNC generally provides the following paid time off, depending on your eligibility: maternity and/or parental leave; up to 11 paid holidays each year; 8 occasional absence days each year, unless otherwise required by law; between 15 to 25 vacation days each year, depending on career level; and years of service.

To learn more about these and other programs, including benefits for full time and part-time employees, visit Your PNC Total Rewards ( .

Disability Accommodations Statement

If an accommodation is required to participate in the application process, please contact us via email at . Please include "accommodation request" in the subject line title and be sure to include your name, the job ID, and your preferred method of contact in the body of the email. Emails not related to accommodation requests will not receive responses. Applicants may also call and say "Workday" for accommodation assistance. All information provided will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

At PNC we foster an inclusive and accessible workplace. We provide reasonable accommodations to employment applicants and qualified individuals with a disability who need an accommodation to perform the essential functions of their positions.

Equal Employment Opportunity (EEO)

PNC provides equal employment opportunity to qualified persons regardless of race, color, sex, religion, national origin, age, sexual orientation, gender identity, disability, veteran status, or other categories protected by law.

This position is subject to the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA) and, for any registered role, the Secure and Fair Enforcement for Mortgage Licensing Act of 2008 (SAFE Act) and/or the Financial Industry Regulatory Authority (FINRA), which prohibit the hiring of individuals with certain criminal history.

California Residents

Refer to the California Consumer Privacy Act Privacy Notice ( to gain understanding of how PNC may use or disclose your personal information in our hiring practices.

View Now

Machine Learning Analyst Sr

44101 Cleveland, Ohio PNC

Posted 11 days ago

Job Viewed

Tap Again To Close

Job Description

Position Overview

At PNC, our people are our greatest differentiator and competitive advantage in the markets we serve. We are all united in delivering the best experience for our customers. We work together each day to foster an inclusive workplace culture where all of our employees feel respected, valued and have an opportunity to contribute to the company's success.

As a Machine Learning Analyst Sr. within PNC's AML and Independent Risk Management organization, you can be based in Pittsburgh, PA, Cleveland, OH, Columbus, OH, Cincinnati, OH, Chicago, IL, Birmingham, AL, Washington DC, or New York City, NY.

This position is primarily based in a PNC location. Responsibilities require time in the office or in the field on a regular basis. Some responsibilities may be performed remotely, at manager's discretion.

PNC is one of the largest diversified financial services institutions in the United States. At PNC we lean in to being Brilliantly Boring, and what could be more Brilliantly Boring than Anti-Money Laundering (AML)? The AML Data Science Solutions team is responsible for overseeing the use of artificial intelligence (AI) / machine learning (ML) to identify potentially suspicious behavior and assist sanctions enforcement. Collaborating with model developers and business users, our team takes a holistic view of our ML ecosystem. We aim to leverage the latest research in reliable and trustworthy machine learning to build a strong program that stands on strong evidence.

The successful candidate will work on a variety of challenges aimed at all parts of the MLOps cycle. Expect to help the team test out the latest science to assess its utility, explore avenues for boosting detectability, and develop approaches for improving overall observability and explainability of existing models. This role is particularly suited to candidates with an analytic background who are motivated to work on societally important business problems.

Preferred qualifications:

· Master's Degree or above in data science, mathematics, computer science, or similar field

· Experience in AI / ML model assessment, testing, or validation

· Fluency in SQL and Python + scikit-learn. Experience with PyTorch, Pyro, and/or other AI/ML/data science languages and libraries is a plus.

Job Description

  • Independently performs advanced quantitative analyses and model development to drive decision-making by running quantitative strategies. Makes recommendations based on analyses.

  • Analyzes and develops new model frameworks by supporting the line of business. Refines, monitors, and reviews existing models. Conducts on-going communication with model owners and model developers during the course of the review. Works with larger, more complex datasets to create models.

  • Performs quantitative analysis and develops complex reports. Performs qualitative and quantitative assessments of all aspects of models including theoretical aspects, model design and implementation as well as data quality and integrity. Analyzes complex data and associated quantitative analysis. Makes recommendations based on findings from data analytics.

  • Uses quantitative tools and techniques to measure and analyze model risks and reaches conclusions on strengths and limitations of the model.

  • Prepares and analyzes detailed documents for validation and regulatory compliance, using applicable templates.

PNC Employees take pride in our reputation and to continue building upon that we expect our employees to be:

  • Customer Focused - Knowledgeable of the values and practices that align customer needs and satisfaction as primary considerations in all business decisions and able to leverage that information in creating customized customer solutions.

  • Managing Risk - Assessing and effectively managing all of the risks associated with their business objectives and activities to ensure they adhere to and support PNC's Enterprise Risk Management Framework.

Qualifications

Successful candidates must demonstrate appropriate knowledge, skills, and abilities for a role. Listed below are skills, competencies, work experience, education, and required certifications/licensures needed to be successful in this position.

Preferred Skills

Analytical Thinking, Credit Risks, Data Analytics, Financial Analysis, Model Development, Operational Risks, Quantitative Models, Risk Appetite

Competencies

Bank Quantitative Analysis, Consulting, Data Gathering and Reporting, Effective Communications, Predictive Analytics, Quantitative Techniques, Regulatory Environment - Financial Services, Testing

Work Experience

Roles at this level typically require a university / college degree, with 3+ years of relevant / direct industry experience. Certifications are often desired. In lieu of a degree, a comparable combination of education, job specific certification(s), and experience (including military service) may be considered.

Education

Bachelors

Certifications

No Required Certification(s)

Licenses

No Required License(s)

Pay Transparency

Base Salary: $55,000.00 - $157,300.00

Salaries may vary based on geographic location, market data and on individual skills, experience, and education. This role is incentive eligible with the payment based upon company, business and/or individual performance.

Application Window

Generally, this opening is expected to be posted for two business days from 06/13/2025, although it may be longer with business discretion.

Benefits

PNC offers a comprehensive range of benefits to help meet your needs now and in the future. Depending on your eligibility, options for full-time employees include: medical/prescription drug coverage (with a Health Savings Account feature), dental and vision options; employee and spouse/child life insurance; short and long-term disability protection; 401(k) with PNC match, pension and stock purchase plans; dependent care reimbursement account; back-up child/elder care; adoption, surrogacy, and doula reimbursement; educational assistance, including select programs fully paid; a robust wellness program with financial incentives.

In addition, PNC generally provides the following paid time off, depending on your eligibility: maternity and/or parental leave; up to 11 paid holidays each year; 8 occasional absence days each year, unless otherwise required by law; between 15 to 25 vacation days each year, depending on career level; and years of service.

To learn more about these and other programs, including benefits for full time and part-time employees, visit Your PNC Total Rewards ( .

Disability Accommodations Statement

If an accommodation is required to participate in the application process, please contact us via email at . Please include "accommodation request" in the subject line title and be sure to include your name, the job ID, and your preferred method of contact in the body of the email. Emails not related to accommodation requests will not receive responses. Applicants may also call and say "Workday" for accommodation assistance. All information provided will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

At PNC we foster an inclusive and accessible workplace. We provide reasonable accommodations to employment applicants and qualified individuals with a disability who need an accommodation to perform the essential functions of their positions.

Equal Employment Opportunity (EEO)

PNC provides equal employment opportunity to qualified persons regardless of race, color, sex, religion, national origin, age, sexual orientation, gender identity, disability, veteran status, or other categories protected by law.

This position is subject to the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA) and, for any registered role, the Secure and Fair Enforcement for Mortgage Licensing Act of 2008 (SAFE Act) and/or the Financial Industry Regulatory Authority (FINRA), which prohibit the hiring of individuals with certain criminal history.

California Residents

Refer to the California Consumer Privacy Act Privacy Notice ( to gain understanding of how PNC may use or disclose your personal information in our hiring practices.

View Now

Machine Learning Analyst Sr

15289 Pittsburgh, Pennsylvania PNC

Posted 11 days ago

Job Viewed

Tap Again To Close

Job Description

Position Overview

At PNC, our people are our greatest differentiator and competitive advantage in the markets we serve. We are all united in delivering the best experience for our customers. We work together each day to foster an inclusive workplace culture where all of our employees feel respected, valued and have an opportunity to contribute to the company's success.

As a Machine Learning Analyst Sr. within PNC's AML and Independent Risk Management organization, you can be based in Pittsburgh, PA, Cleveland, OH, Columbus, OH, Cincinnati, OH, Chicago, IL, Birmingham, AL, Washington DC, or New York City, NY.

This position is primarily based in a PNC location. Responsibilities require time in the office or in the field on a regular basis. Some responsibilities may be performed remotely, at manager's discretion.

PNC is one of the largest diversified financial services institutions in the United States. At PNC we lean in to being Brilliantly Boring, and what could be more Brilliantly Boring than Anti-Money Laundering (AML)? The AML Data Science Solutions team is responsible for overseeing the use of artificial intelligence (AI) / machine learning (ML) to identify potentially suspicious behavior and assist sanctions enforcement. Collaborating with model developers and business users, our team takes a holistic view of our ML ecosystem. We aim to leverage the latest research in reliable and trustworthy machine learning to build a strong program that stands on strong evidence.

The successful candidate will work on a variety of challenges aimed at all parts of the MLOps cycle. Expect to help the team test out the latest science to assess its utility, explore avenues for boosting detectability, and develop approaches for improving overall observability and explainability of existing models. This role is particularly suited to candidates with an analytic background who are motivated to work on societally important business problems.

Preferred qualifications:

· Master's Degree or above in data science, mathematics, computer science, or similar field

· Experience in AI / ML model assessment, testing, or validation

· Fluency in SQL and Python + scikit-learn. Experience with PyTorch, Pyro, and/or other AI/ML/data science languages and libraries is a plus.

Job Description

  • Independently performs advanced quantitative analyses and model development to drive decision-making by running quantitative strategies. Makes recommendations based on analyses.

  • Analyzes and develops new model frameworks by supporting the line of business. Refines, monitors, and reviews existing models. Conducts on-going communication with model owners and model developers during the course of the review. Works with larger, more complex datasets to create models.

  • Performs quantitative analysis and develops complex reports. Performs qualitative and quantitative assessments of all aspects of models including theoretical aspects, model design and implementation as well as data quality and integrity. Analyzes complex data and associated quantitative analysis. Makes recommendations based on findings from data analytics.

  • Uses quantitative tools and techniques to measure and analyze model risks and reaches conclusions on strengths and limitations of the model.

  • Prepares and analyzes detailed documents for validation and regulatory compliance, using applicable templates.

PNC Employees take pride in our reputation and to continue building upon that we expect our employees to be:

  • Customer Focused - Knowledgeable of the values and practices that align customer needs and satisfaction as primary considerations in all business decisions and able to leverage that information in creating customized customer solutions.

  • Managing Risk - Assessing and effectively managing all of the risks associated with their business objectives and activities to ensure they adhere to and support PNC's Enterprise Risk Management Framework.

Qualifications

Successful candidates must demonstrate appropriate knowledge, skills, and abilities for a role. Listed below are skills, competencies, work experience, education, and required certifications/licensures needed to be successful in this position.

Preferred Skills

Analytical Thinking, Credit Risks, Data Analytics, Financial Analysis, Model Development, Operational Risks, Quantitative Models, Risk Appetite

Competencies

Bank Quantitative Analysis, Consulting, Data Gathering and Reporting, Effective Communications, Predictive Analytics, Quantitative Techniques, Regulatory Environment - Financial Services, Testing

Work Experience

Roles at this level typically require a university / college degree, with 3+ years of relevant / direct industry experience. Certifications are often desired. In lieu of a degree, a comparable combination of education, job specific certification(s), and experience (including military service) may be considered.

Education

Bachelors

Certifications

No Required Certification(s)

Licenses

No Required License(s)

Pay Transparency

Base Salary: $55,000.00 - $157,300.00

Salaries may vary based on geographic location, market data and on individual skills, experience, and education. This role is incentive eligible with the payment based upon company, business and/or individual performance.

Application Window

Generally, this opening is expected to be posted for two business days from 06/13/2025, although it may be longer with business discretion.

Benefits

PNC offers a comprehensive range of benefits to help meet your needs now and in the future. Depending on your eligibility, options for full-time employees include: medical/prescription drug coverage (with a Health Savings Account feature), dental and vision options; employee and spouse/child life insurance; short and long-term disability protection; 401(k) with PNC match, pension and stock purchase plans; dependent care reimbursement account; back-up child/elder care; adoption, surrogacy, and doula reimbursement; educational assistance, including select programs fully paid; a robust wellness program with financial incentives.

In addition, PNC generally provides the following paid time off, depending on your eligibility: maternity and/or parental leave; up to 11 paid holidays each year; 8 occasional absence days each year, unless otherwise required by law; between 15 to 25 vacation days each year, depending on career level; and years of service.

To learn more about these and other programs, including benefits for full time and part-time employees, visit Your PNC Total Rewards ( .

Disability Accommodations Statement

If an accommodation is required to participate in the application process, please contact us via email at . Please include "accommodation request" in the subject line title and be sure to include your name, the job ID, and your preferred method of contact in the body of the email. Emails not related to accommodation requests will not receive responses. Applicants may also call and say "Workday" for accommodation assistance. All information provided will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

At PNC we foster an inclusive and accessible workplace. We provide reasonable accommodations to employment applicants and qualified individuals with a disability who need an accommodation to perform the essential functions of their positions.

Equal Employment Opportunity (EEO)

PNC provides equal employment opportunity to qualified persons regardless of race, color, sex, religion, national origin, age, sexual orientation, gender identity, disability, veteran status, or other categories protected by law.

This position is subject to the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA) and, for any registered role, the Secure and Fair Enforcement for Mortgage Licensing Act of 2008 (SAFE Act) and/or the Financial Industry Regulatory Authority (FINRA), which prohibit the hiring of individuals with certain criminal history.

California Residents

Refer to the California Consumer Privacy Act Privacy Notice ( to gain understanding of how PNC may use or disclose your personal information in our hiring practices.

View Now

Machine Learning Analyst Sr

45208 Cincinnati, Ohio PNC

Posted 11 days ago

Job Viewed

Tap Again To Close

Job Description

Position Overview

At PNC, our people are our greatest differentiator and competitive advantage in the markets we serve. We are all united in delivering the best experience for our customers. We work together each day to foster an inclusive workplace culture where all of our employees feel respected, valued and have an opportunity to contribute to the company's success.

As a Machine Learning Analyst Sr. within PNC's AML and Independent Risk Management organization, you can be based in Pittsburgh, PA, Cleveland, OH, Columbus, OH, Cincinnati, OH, Chicago, IL, Birmingham, AL, Washington DC, or New York City, NY.

This position is primarily based in a PNC location. Responsibilities require time in the office or in the field on a regular basis. Some responsibilities may be performed remotely, at manager's discretion.

PNC is one of the largest diversified financial services institutions in the United States. At PNC we lean in to being Brilliantly Boring, and what could be more Brilliantly Boring than Anti-Money Laundering (AML)? The AML Data Science Solutions team is responsible for overseeing the use of artificial intelligence (AI) / machine learning (ML) to identify potentially suspicious behavior and assist sanctions enforcement. Collaborating with model developers and business users, our team takes a holistic view of our ML ecosystem. We aim to leverage the latest research in reliable and trustworthy machine learning to build a strong program that stands on strong evidence.

The successful candidate will work on a variety of challenges aimed at all parts of the MLOps cycle. Expect to help the team test out the latest science to assess its utility, explore avenues for boosting detectability, and develop approaches for improving overall observability and explainability of existing models. This role is particularly suited to candidates with an analytic background who are motivated to work on societally important business problems.

Preferred qualifications:

· Master's Degree or above in data science, mathematics, computer science, or similar field

· Experience in AI / ML model assessment, testing, or validation

· Fluency in SQL and Python + scikit-learn. Experience with PyTorch, Pyro, and/or other AI/ML/data science languages and libraries is a plus.

Job Description

  • Independently performs advanced quantitative analyses and model development to drive decision-making by running quantitative strategies. Makes recommendations based on analyses.

  • Analyzes and develops new model frameworks by supporting the line of business. Refines, monitors, and reviews existing models. Conducts on-going communication with model owners and model developers during the course of the review. Works with larger, more complex datasets to create models.

  • Performs quantitative analysis and develops complex reports. Performs qualitative and quantitative assessments of all aspects of models including theoretical aspects, model design and implementation as well as data quality and integrity. Analyzes complex data and associated quantitative analysis. Makes recommendations based on findings from data analytics.

  • Uses quantitative tools and techniques to measure and analyze model risks and reaches conclusions on strengths and limitations of the model.

  • Prepares and analyzes detailed documents for validation and regulatory compliance, using applicable templates.

PNC Employees take pride in our reputation and to continue building upon that we expect our employees to be:

  • Customer Focused - Knowledgeable of the values and practices that align customer needs and satisfaction as primary considerations in all business decisions and able to leverage that information in creating customized customer solutions.

  • Managing Risk - Assessing and effectively managing all of the risks associated with their business objectives and activities to ensure they adhere to and support PNC's Enterprise Risk Management Framework.

Qualifications

Successful candidates must demonstrate appropriate knowledge, skills, and abilities for a role. Listed below are skills, competencies, work experience, education, and required certifications/licensures needed to be successful in this position.

Preferred Skills

Analytical Thinking, Credit Risks, Data Analytics, Financial Analysis, Model Development, Operational Risks, Quantitative Models, Risk Appetite

Competencies

Bank Quantitative Analysis, Consulting, Data Gathering and Reporting, Effective Communications, Predictive Analytics, Quantitative Techniques, Regulatory Environment - Financial Services, Testing

Work Experience

Roles at this level typically require a university / college degree, with 3+ years of relevant / direct industry experience. Certifications are often desired. In lieu of a degree, a comparable combination of education, job specific certification(s), and experience (including military service) may be considered.

Education

Bachelors

Certifications

No Required Certification(s)

Licenses

No Required License(s)

Pay Transparency

Base Salary: $55,000.00 - $157,300.00

Salaries may vary based on geographic location, market data and on individual skills, experience, and education. This role is incentive eligible with the payment based upon company, business and/or individual performance.

Application Window

Generally, this opening is expected to be posted for two business days from 06/13/2025, although it may be longer with business discretion.

Benefits

PNC offers a comprehensive range of benefits to help meet your needs now and in the future. Depending on your eligibility, options for full-time employees include: medical/prescription drug coverage (with a Health Savings Account feature), dental and vision options; employee and spouse/child life insurance; short and long-term disability protection; 401(k) with PNC match, pension and stock purchase plans; dependent care reimbursement account; back-up child/elder care; adoption, surrogacy, and doula reimbursement; educational assistance, including select programs fully paid; a robust wellness program with financial incentives.

In addition, PNC generally provides the following paid time off, depending on your eligibility: maternity and/or parental leave; up to 11 paid holidays each year; 8 occasional absence days each year, unless otherwise required by law; between 15 to 25 vacation days each year, depending on career level; and years of service.

To learn more about these and other programs, including benefits for full time and part-time employees, visit Your PNC Total Rewards ( .

Disability Accommodations Statement

If an accommodation is required to participate in the application process, please contact us via email at . Please include "accommodation request" in the subject line title and be sure to include your name, the job ID, and your preferred method of contact in the body of the email. Emails not related to accommodation requests will not receive responses. Applicants may also call and say "Workday" for accommodation assistance. All information provided will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

At PNC we foster an inclusive and accessible workplace. We provide reasonable accommodations to employment applicants and qualified individuals with a disability who need an accommodation to perform the essential functions of their positions.

Equal Employment Opportunity (EEO)

PNC provides equal employment opportunity to qualified persons regardless of race, color, sex, religion, national origin, age, sexual orientation, gender identity, disability, veteran status, or other categories protected by law.

This position is subject to the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA) and, for any registered role, the Secure and Fair Enforcement for Mortgage Licensing Act of 2008 (SAFE Act) and/or the Financial Industry Regulatory Authority (FINRA), which prohibit the hiring of individuals with certain criminal history.

California Residents

Refer to the California Consumer Privacy Act Privacy Notice ( to gain understanding of how PNC may use or disclose your personal information in our hiring practices.

View Now
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Machine Learning Analyst Sr

20022 Washington, District Of Columbia PNC

Posted 11 days ago

Job Viewed

Tap Again To Close

Job Description

Position Overview

At PNC, our people are our greatest differentiator and competitive advantage in the markets we serve. We are all united in delivering the best experience for our customers. We work together each day to foster an inclusive workplace culture where all of our employees feel respected, valued and have an opportunity to contribute to the company's success.

As a Machine Learning Analyst Sr. within PNC's AML and Independent Risk Management organization, you can be based in Pittsburgh, PA, Cleveland, OH, Columbus, OH, Cincinnati, OH, Chicago, IL, Birmingham, AL, Washington DC, or New York City, NY.

This position is primarily based in a PNC location. Responsibilities require time in the office or in the field on a regular basis. Some responsibilities may be performed remotely, at manager's discretion.

PNC is one of the largest diversified financial services institutions in the United States. At PNC we lean in to being Brilliantly Boring, and what could be more Brilliantly Boring than Anti-Money Laundering (AML)? The AML Data Science Solutions team is responsible for overseeing the use of artificial intelligence (AI) / machine learning (ML) to identify potentially suspicious behavior and assist sanctions enforcement. Collaborating with model developers and business users, our team takes a holistic view of our ML ecosystem. We aim to leverage the latest research in reliable and trustworthy machine learning to build a strong program that stands on strong evidence.

The successful candidate will work on a variety of challenges aimed at all parts of the MLOps cycle. Expect to help the team test out the latest science to assess its utility, explore avenues for boosting detectability, and develop approaches for improving overall observability and explainability of existing models. This role is particularly suited to candidates with an analytic background who are motivated to work on societally important business problems.

Preferred qualifications:

· Master's Degree or above in data science, mathematics, computer science, or similar field

· Experience in AI / ML model assessment, testing, or validation

· Fluency in SQL and Python + scikit-learn. Experience with PyTorch, Pyro, and/or other AI/ML/data science languages and libraries is a plus.

Job Description

  • Independently performs advanced quantitative analyses and model development to drive decision-making by running quantitative strategies. Makes recommendations based on analyses.

  • Analyzes and develops new model frameworks by supporting the line of business. Refines, monitors, and reviews existing models. Conducts on-going communication with model owners and model developers during the course of the review. Works with larger, more complex datasets to create models.

  • Performs quantitative analysis and develops complex reports. Performs qualitative and quantitative assessments of all aspects of models including theoretical aspects, model design and implementation as well as data quality and integrity. Analyzes complex data and associated quantitative analysis. Makes recommendations based on findings from data analytics.

  • Uses quantitative tools and techniques to measure and analyze model risks and reaches conclusions on strengths and limitations of the model.

  • Prepares and analyzes detailed documents for validation and regulatory compliance, using applicable templates.

PNC Employees take pride in our reputation and to continue building upon that we expect our employees to be:

  • Customer Focused - Knowledgeable of the values and practices that align customer needs and satisfaction as primary considerations in all business decisions and able to leverage that information in creating customized customer solutions.

  • Managing Risk - Assessing and effectively managing all of the risks associated with their business objectives and activities to ensure they adhere to and support PNC's Enterprise Risk Management Framework.

Qualifications

Successful candidates must demonstrate appropriate knowledge, skills, and abilities for a role. Listed below are skills, competencies, work experience, education, and required certifications/licensures needed to be successful in this position.

Preferred Skills

Analytical Thinking, Credit Risks, Data Analytics, Financial Analysis, Model Development, Operational Risks, Quantitative Models, Risk Appetite

Competencies

Bank Quantitative Analysis, Consulting, Data Gathering and Reporting, Effective Communications, Predictive Analytics, Quantitative Techniques, Regulatory Environment - Financial Services, Testing

Work Experience

Roles at this level typically require a university / college degree, with 3+ years of relevant / direct industry experience. Certifications are often desired. In lieu of a degree, a comparable combination of education, job specific certification(s), and experience (including military service) may be considered.

Education

Bachelors

Certifications

No Required Certification(s)

Licenses

No Required License(s)

Pay Transparency

Base Salary: $55,000.00 - $157,300.00

Salaries may vary based on geographic location, market data and on individual skills, experience, and education. This role is incentive eligible with the payment based upon company, business and/or individual performance.

Application Window

Generally, this opening is expected to be posted for two business days from 06/13/2025, although it may be longer with business discretion.

Benefits

PNC offers a comprehensive range of benefits to help meet your needs now and in the future. Depending on your eligibility, options for full-time employees include: medical/prescription drug coverage (with a Health Savings Account feature), dental and vision options; employee and spouse/child life insurance; short and long-term disability protection; 401(k) with PNC match, pension and stock purchase plans; dependent care reimbursement account; back-up child/elder care; adoption, surrogacy, and doula reimbursement; educational assistance, including select programs fully paid; a robust wellness program with financial incentives.

In addition, PNC generally provides the following paid time off, depending on your eligibility: maternity and/or parental leave; up to 11 paid holidays each year; 8 occasional absence days each year, unless otherwise required by law; between 15 to 25 vacation days each year, depending on career level; and years of service.

To learn more about these and other programs, including benefits for full time and part-time employees, visit Your PNC Total Rewards ( .

Disability Accommodations Statement

If an accommodation is required to participate in the application process, please contact us via email at . Please include "accommodation request" in the subject line title and be sure to include your name, the job ID, and your preferred method of contact in the body of the email. Emails not related to accommodation requests will not receive responses. Applicants may also call and say "Workday" for accommodation assistance. All information provided will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

At PNC we foster an inclusive and accessible workplace. We provide reasonable accommodations to employment applicants and qualified individuals with a disability who need an accommodation to perform the essential functions of their positions.

Equal Employment Opportunity (EEO)

PNC provides equal employment opportunity to qualified persons regardless of race, color, sex, religion, national origin, age, sexual orientation, gender identity, disability, veteran status, or other categories protected by law.

This position is subject to the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA) and, for any registered role, the Secure and Fair Enforcement for Mortgage Licensing Act of 2008 (SAFE Act) and/or the Financial Industry Regulatory Authority (FINRA), which prohibit the hiring of individuals with certain criminal history.

California Residents

Refer to the California Consumer Privacy Act Privacy Notice ( to gain understanding of how PNC may use or disclose your personal information in our hiring practices.

View Now

Machine Learning Analyst Sr

60290 Chicago, Illinois PNC

Posted 11 days ago

Job Viewed

Tap Again To Close

Job Description

Position Overview

At PNC, our people are our greatest differentiator and competitive advantage in the markets we serve. We are all united in delivering the best experience for our customers. We work together each day to foster an inclusive workplace culture where all of our employees feel respected, valued and have an opportunity to contribute to the company's success.

As a Machine Learning Analyst Sr. within PNC's AML and Independent Risk Management organization, you can be based in Pittsburgh, PA, Cleveland, OH, Columbus, OH, Cincinnati, OH, Chicago, IL, Birmingham, AL, Washington DC, or New York City, NY.

This position is primarily based in a PNC location. Responsibilities require time in the office or in the field on a regular basis. Some responsibilities may be performed remotely, at manager's discretion.

PNC is one of the largest diversified financial services institutions in the United States. At PNC we lean in to being Brilliantly Boring, and what could be more Brilliantly Boring than Anti-Money Laundering (AML)? The AML Data Science Solutions team is responsible for overseeing the use of artificial intelligence (AI) / machine learning (ML) to identify potentially suspicious behavior and assist sanctions enforcement. Collaborating with model developers and business users, our team takes a holistic view of our ML ecosystem. We aim to leverage the latest research in reliable and trustworthy machine learning to build a strong program that stands on strong evidence.

The successful candidate will work on a variety of challenges aimed at all parts of the MLOps cycle. Expect to help the team test out the latest science to assess its utility, explore avenues for boosting detectability, and develop approaches for improving overall observability and explainability of existing models. This role is particularly suited to candidates with an analytic background who are motivated to work on societally important business problems.

Preferred qualifications:

· Master's Degree or above in data science, mathematics, computer science, or similar field

· Experience in AI / ML model assessment, testing, or validation

· Fluency in SQL and Python + scikit-learn. Experience with PyTorch, Pyro, and/or other AI/ML/data science languages and libraries is a plus.

Job Description

  • Independently performs advanced quantitative analyses and model development to drive decision-making by running quantitative strategies. Makes recommendations based on analyses.

  • Analyzes and develops new model frameworks by supporting the line of business. Refines, monitors, and reviews existing models. Conducts on-going communication with model owners and model developers during the course of the review. Works with larger, more complex datasets to create models.

  • Performs quantitative analysis and develops complex reports. Performs qualitative and quantitative assessments of all aspects of models including theoretical aspects, model design and implementation as well as data quality and integrity. Analyzes complex data and associated quantitative analysis. Makes recommendations based on findings from data analytics.

  • Uses quantitative tools and techniques to measure and analyze model risks and reaches conclusions on strengths and limitations of the model.

  • Prepares and analyzes detailed documents for validation and regulatory compliance, using applicable templates.

PNC Employees take pride in our reputation and to continue building upon that we expect our employees to be:

  • Customer Focused - Knowledgeable of the values and practices that align customer needs and satisfaction as primary considerations in all business decisions and able to leverage that information in creating customized customer solutions.

  • Managing Risk - Assessing and effectively managing all of the risks associated with their business objectives and activities to ensure they adhere to and support PNC's Enterprise Risk Management Framework.

Qualifications

Successful candidates must demonstrate appropriate knowledge, skills, and abilities for a role. Listed below are skills, competencies, work experience, education, and required certifications/licensures needed to be successful in this position.

Preferred Skills

Analytical Thinking, Credit Risks, Data Analytics, Financial Analysis, Model Development, Operational Risks, Quantitative Models, Risk Appetite

Competencies

Bank Quantitative Analysis, Consulting, Data Gathering and Reporting, Effective Communications, Predictive Analytics, Quantitative Techniques, Regulatory Environment - Financial Services, Testing

Work Experience

Roles at this level typically require a university / college degree, with 3+ years of relevant / direct industry experience. Certifications are often desired. In lieu of a degree, a comparable combination of education, job specific certification(s), and experience (including military service) may be considered.

Education

Bachelors

Certifications

No Required Certification(s)

Licenses

No Required License(s)

Pay Transparency

Base Salary: $55,000.00 - $157,300.00

Salaries may vary based on geographic location, market data and on individual skills, experience, and education. This role is incentive eligible with the payment based upon company, business and/or individual performance.

Application Window

Generally, this opening is expected to be posted for two business days from 06/13/2025, although it may be longer with business discretion.

Benefits

PNC offers a comprehensive range of benefits to help meet your needs now and in the future. Depending on your eligibility, options for full-time employees include: medical/prescription drug coverage (with a Health Savings Account feature), dental and vision options; employee and spouse/child life insurance; short and long-term disability protection; 401(k) with PNC match, pension and stock purchase plans; dependent care reimbursement account; back-up child/elder care; adoption, surrogacy, and doula reimbursement; educational assistance, including select programs fully paid; a robust wellness program with financial incentives.

In addition, PNC generally provides the following paid time off, depending on your eligibility: maternity and/or parental leave; up to 11 paid holidays each year; 8 occasional absence days each year, unless otherwise required by law; between 15 to 25 vacation days each year, depending on career level; and years of service.

To learn more about these and other programs, including benefits for full time and part-time employees, visit Your PNC Total Rewards ( .

Disability Accommodations Statement

If an accommodation is required to participate in the application process, please contact us via email at . Please include "accommodation request" in the subject line title and be sure to include your name, the job ID, and your preferred method of contact in the body of the email. Emails not related to accommodation requests will not receive responses. Applicants may also call and say "Workday" for accommodation assistance. All information provided will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

At PNC we foster an inclusive and accessible workplace. We provide reasonable accommodations to employment applicants and qualified individuals with a disability who need an accommodation to perform the essential functions of their positions.

Equal Employment Opportunity (EEO)

PNC provides equal employment opportunity to qualified persons regardless of race, color, sex, religion, national origin, age, sexual orientation, gender identity, disability, veteran status, or other categories protected by law.

This position is subject to the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA) and, for any registered role, the Secure and Fair Enforcement for Mortgage Licensing Act of 2008 (SAFE Act) and/or the Financial Industry Regulatory Authority (FINRA), which prohibit the hiring of individuals with certain criminal history.

California Residents

Refer to the California Consumer Privacy Act Privacy Notice ( to gain understanding of how PNC may use or disclose your personal information in our hiring practices.

View Now

Machine Learning Analyst Sr

60684 Chicago, Illinois PNC

Posted 2 days ago

Job Viewed

Tap Again To Close

Job Description

**Position Overview**
At PNC, our people are our greatest differentiator and competitive advantage in the markets we serve. We are all united in delivering the best experience for our customers. We work together each day to foster an inclusive workplace culture where all of our employees feel respected, valued and have an opportunity to contribute to the company's success.
As a Machine Learning Analyst Sr. within PNC's AML and Independent Risk Management organization, you can be based in Pittsburgh, PA, Cleveland, OH, Columbus, OH, Cincinnati, OH, Chicago, IL, Birmingham, AL, Washington DC, or New York City, NY.
This position is primarily based in a PNC location. Responsibilities require time in the office or in the field on a regular basis. Some responsibilities may be performed remotely, at manager's discretion.
PNC is one of the largest diversified financial services institutions in the United States. At PNC we lean in to being Brilliantly Boring, and what could be more Brilliantly Boring than Anti-Money Laundering (AML)? The AML Data Science Solutions team is responsible for overseeing the use of artificial intelligence (AI) / machine learning (ML) to identify potentially suspicious behavior and assist sanctions enforcement. Collaborating with model developers and business users, our team takes a holistic view of our ML ecosystem. We aim to leverage the latest research in reliable and trustworthy machine learning to build a strong program that stands on strong evidence.
The successful candidate will work on a variety of challenges aimed at all parts of the MLOps cycle. Expect to help the team test out the latest science to assess its utility, explore avenues for boosting detectability, and develop approaches for improving overall observability and explainability of existing models. This role is particularly suited to candidates with an analytic background who are motivated to work on societally important business problems.
Preferred qualifications:
· Master's Degree or above in data science, mathematics, computer science, or similar field
· Experience in AI / ML model assessment, testing, or validation
· Fluency in SQL and Python + scikit-learn. Experience with PyTorch, Pyro, and/or other AI/ML/data science languages and libraries is a plus.
**Job Description**
+ Independently performs advanced quantitative analyses and model development to drive decision-making by running quantitative strategies. Makes recommendations based on analyses.
+ Analyzes and develops new model frameworks by supporting the line of business. Refines, monitors, and reviews existing models. Conducts on-going communication with model owners and model developers during the course of the review. Works with larger, more complex datasets to create models.
+ Performs quantitative analysis and develops complex reports. Performs qualitative and quantitative assessments of all aspects of models including theoretical aspects, model design and implementation as well as data quality and integrity. Analyzes complex data and associated quantitative analysis. Makes recommendations based on findings from data analytics.
+ Uses quantitative tools and techniques to measure and analyze model risks and reaches conclusions on strengths and limitations of the model.
+ Prepares and analyzes detailed documents for validation and regulatory compliance, using applicable templates.
PNC Employees take pride in our reputation and to continue building upon that we expect our employees to be:
+ **Customer Focused** - Knowledgeable of the values and practices that align customer needs and satisfaction as primary considerations in all business decisions and able to leverage that information in creating customized customer solutions.
+ **Managing Risk** - Assessing and effectively managing all of the risks associated with their business objectives and activities to ensure they adhere to and support PNC's Enterprise Risk Management Framework.
**Qualifications**
Successful candidates must demonstrate appropriate knowledge, skills, and abilities for a role. Listed below are skills, competencies, work experience, education, and required certifications/licensures needed to be successful in this position.
**Preferred Skills**
Analytical Thinking, Credit Risks, Data Analytics, Financial Analysis, Model Development, Operational Risks, Quantitative Models, Risk Appetite
**Competencies**
Bank Quantitative Analysis, Consulting, Data Gathering and Reporting, Effective Communications, Predictive Analytics, Quantitative Techniques, Regulatory Environment - Financial Services, Testing
**Work Experience**
Roles at this level typically require a university / college degree, with 3+ years of relevant / direct industry experience. Certifications are often desired. In lieu of a degree, a comparable combination of education, job specific certification(s), and experience (including military service) may be considered.
**Education**
Bachelors
**Certifications**
No Required Certification(s)
**Licenses**
No Required License(s)
**Pay Transparency**
Base Salary: $55,000.00 - $157,300.00
Salaries may vary based on geographic location, market data and on individual skills, experience, and education. This role is incentive eligible with the payment based upon company, business and/or individual performance.
**Application Window**
Generally, this opening is expected to be posted for two business days from 06/13/2025, although it may be longer with business discretion.
**Benefits**
PNC offers a comprehensive range of benefits to help meet your needs now and in the future. Depending on your eligibility, options for full-time employees include: medical/prescription drug coverage (with a Health Savings Account feature), dental and vision options; employee and spouse/child life insurance; short and long-term disability protection; 401(k) with PNC match, pension and stock purchase plans; dependent care reimbursement account; back-up child/elder care; adoption, surrogacy, and doula reimbursement; educational assistance, including select programs fully paid; a robust wellness program with financial incentives.
In addition, PNC generally provides the following paid time off, depending on your eligibility: maternity and/or parental leave; up to 11 paid holidays each year; 8 occasional absence days each year, unless otherwise required by law; between 15 to 25 vacation days each year, depending on career level; and years of service.
To learn more about these and other programs, including benefits for full time and part-time employees, visit Your PNC Total Rewards ( .
**Disability Accommodations Statement**
If an accommodation is required to participate in the application process, please contact us via email at . Please include "accommodation request" in the subject line title and be sure to include your name, the job ID, and your preferred method of contact in the body of the email. Emails not related to accommodation requests will not receive responses. Applicants may also call and say "Workday" for accommodation assistance. All information provided will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
At PNC we foster an inclusive and accessible workplace. We provide reasonable accommodations to employment applicants and qualified individuals with a disability who need an accommodation to perform the essential functions of their positions.
**Equal Employment Opportunity (EEO)**
PNC provides equal employment opportunity to qualified persons regardless of race, color, sex, religion, national origin, age, sexual orientation, gender identity, disability, veteran status, or other categories protected by law.
This position is subject to the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA) and, for any registered role, the Secure and Fair Enforcement for Mortgage Licensing Act of 2008 (SAFE Act) and/or the Financial Industry Regulatory Authority (FINRA), which prohibit the hiring of individuals with certain criminal history.
**California Residents**
Refer to the California Consumer Privacy Act Privacy Notice ( to gain understanding of how PNC may use or disclose your personal information in our hiring practices.
View Now
 

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  58. person_search Recruitment Consultancy
  59. store Retail
  60. point_of_sale Sales
  61. science Scientific Research & Development
  62. wifi Telecoms
  63. psychology Therapy
  64. pets Veterinary
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