906 Quantitative Analysis jobs in the United States

Senior Associate, Data Management & Quantitative Analysis

At BNY, our culture allows us to run our company better and enables employees' growth and success. As a leading global financial services company at the heart of the global financial system, we influence nearly 20% of the world's investible assets. Every day, our teams harness cutting-edge AI and breakthrough technologies to collaborate with clients, driving transformative solutions that redefine industries and uplift communities worldwide.

Recognized as a top destination for innovators and champions of inclusion, BNY is where bold ideas meet advanced technology and exceptional talent. Together, we power the future of finance - and this is what #LifeAtBNY is all about. Join us and be part of something extraordinary.

We're seeking a future team member for the role of Senior Associate, Data Management & Quantitative Analysis to join our Structured Debt Client Platform team. This role is located in Houston, TX or Pittsburgh, PA .

In this role, you'll make an impact in the following ways:

• Work with internal and external datasets and client reference data to provide analysis in the development of statistical, financial, and/or econometric models for analyzing asset performance, securities data, derivative pricing, risk exposure, or other sophisticated concepts.
• Provide analytical support and prepare drafts of standard and ad hoc reports for the assigned area.
• Support assigned area with advanced statistical and quantitative analyses, serving as a resource to less experienced colleagues.
• Use technology tools such as SQL, querying, and macro development to extract data, run models, identify exceptions, and take corrective action.

To be successful in this role, we're seeking the following:

• Bachelor's degree or the equivalent combination of education and experience; advanced degree in quantitative analysis preferred.
• 3-5 years of experience preferred.
• Experience in quantitative finance and technology preferred.
• Strong understanding of relevant processes and products in the assigned area, with the ability to interpret findings and translate complex technical concepts to non-technical audiences.
• Experience in quantitative finance and technology preferred.
• Strong skills in SQL, querying, macro development, and familiarity with programming or system configuration to set up sophisticated models or algorithms.

At BNY, our culture speaks for itself, check out the latest BNY news at:

BNY Newsroom

BNY LinkedIn

Here's a few of our recent awards:

• America's Most Innovative Companies, Fortune, 2025
• World's Most Admired Companies, Fortune 2025
• "Most Just Companies", Just Capital and CNBC, 2025

Our Benefits and Rewards:

BNY offers highly competitive compensation, benefits, and wellbeing programs rooted in a strong culture of excellence and our pay-for-performance philosophy. We provide access to flexible global resources and tools for your life's journey. Focus on your health, foster your personal resilience, and reach your financial goals as a valued member of our team, along with generous paid leaves, including paid volunteer time, that can support you and your family through moments that matter.

BNY is an Equal Employment Opportunity/Affirmative Action Employer - Underrepresented racial and ethnic groups/Females/Individuals with Disabilities/Protected Veterans.

Vice President, Data Management & Quantitative Analysis

At BNY, our culture allows us to run our company better and enables employees' growth and success. As a leading global financial services company at the heart of the global financial system, we influence nearly 20% of the world's investible assets. Every day, our teams harness cutting-edge AI and breakthrough technologies to collaborate with clients, driving transformative solutions that redefine industries and uplift communities worldwide.

Recognized as a top destination for innovators and champions of inclusion, BNY is where bold ideas meet advanced technology and exceptional talent. Together, we power the future of finance - and this is what #LifeAtBNY is all about. Join us and be part of something extraordinary.

We're seeking a future team member for the role of Vice President to join our Markets and Wealth Services Compliance Data Reporting and Analytics (CDRA) team. This role is located in Pittsburgh PA or Lake Mary FL.

In this role, you'll make an impact in the following ways:

• We focus on centralizing data, metrics, and reporting for all areas of Compliance, including Global Compliance, Financial Crimes Compliance (FCC), and Global Sanctions. Then, we aim to build innovative platforms with dashboards, reporting, and administrative tools to provide actionable intelligence and support decision-making
• Partnerships: Manage partnerships with data owners, Engineering, and FCC/Compliance to document requirements for data use in metrics and reporting
• AI Integration: Use AI-generated insights to redesign compliance and reporting processes, support strategic risk analysis, and drive AI-enabled decision-making
• Data Understanding: Gain a comprehensive understanding of data, including its scope, limitations, and interlinkages. Use both standard and AI-driven tools for analysis, extraction, and reporting
• Testing and Analysis: Perform testing and coordinate user acceptance of new datasets and reports. Conduct root cause analysis for data errors and determine remediation steps
• Collaboration: Collaborate with the Risk & Compliance AI community to establish and share best practices. Support project management, maintain standards, and assist with training and engagement initiatives
• Data Management: Oversee data governance, including the management and integration of AI systems, data integrity, availability, and collaboration. Validate AI outputs for compliance and document AI system touchpoints and logic flows
  
  

To be successful in this role, we're seeking the following:

• Bachelor's degree (business, math, engineering, computer science) or the equivalent combination of education and experience needed.
• 7+ relevant years of total work experience preferred.
• Strong organization, documentation, communication, and presentation skills.
• Competency with leading data profiling tools such as SQL, Alteryx, Power BI, Python, or other data querying tools.
• Knowledge of the structuring of data environments and applications that use big data processes is preferred.
• Familiar with Business Intelligence data management and visualization (primarily Power BI).
• Experience with issue management systems (JIRA, Service Now).
• Familiar with logical data models.
• Should excel in scenario analysis, foreseeing potential challenges, and proposing problem-solving solutions.
• Competency with data governance processes and tools.

At BNY, our culture speaks for itself, check out the latest BNY news at:

BNY Newsroom

BNY LinkedIn

Here's a few of our recent awards:

• America's Most Innovative Companies, Fortune, 2025
• World's Most Admired Companies, Fortune 2025
• "Most Just Companies", Just Capital and CNBC, 2025

Our Benefits and Rewards:

BNY offers highly competitive compensation, benefits, and wellbeing programs rooted in a strong culture of excellence and our pay-for-performance philosophy. We provide access to flexible global resources and tools for your life's journey. Focus on your health, foster your personal resilience, and reach your financial goals as a valued member of our team, along with generous paid leaves, including paid volunteer time, that can support you and your family through moments that matter.

BNY is an Equal Employment Opportunity/Affirmative Action Employer - Underrepresented racial and ethnic groups/Females/Individuals with Disabilities/Protected Veterans.

Overview

At BNY, our culture empowers you to grow and succeed. As a leading global financial services company at the center of the world’s financial system we touch nearly 20% of the world’s investible assets. Every day around the globe, our 50,000+ employees bring the power of their perspective to the table to create solutions with our clients that benefit businesses, communities and people everywhere.

We continue to be a leader in the industry, awarded as a top home for innovators and for creating an inclusive workplace. Through our unique ideas and talents, together we help make money work for the world. This is what #LifeAtBNY is all about.

We’re seeking a future team member for the role of Senior Associate, Data Management & Quantitative Analysis to join our Structured Debt team. This role is a hybrid work schedule (3 days a week in office) located out of our New York City, NY - Lake Mary, FL - Pittsburgh, PA office.

In this role, you will make an impact in the following ways: 

• Working with internal and external datasets and client reference data, and providing analysis in the development of financial models for analyzing asset performance, securities data, or other structured finance related sophisticated concepts
• Interpreting legal verbiage found in securitization documents and translating it into the mathematics and the economics of the transaction through a cash-flow waterfall model
• Coding payment rules using programming languages such as Python
• Build Investor Report that include distributions to the holders and high-level asset level information
• Providing guidance to, and reviewing the reports and calculations of junior analysts as well as translating complex technical concepts and analyses to non-technical audiences
• Work in a high-intense and fast paced environment 

To be successful in this role, we’re seeking the following: 

• Bachelor’s degree or the equivalent 
•  4+ years of work experience in asset-backed securities (RMBS, ABS (Esoteric and Traditional, RESEC, CMBS, MILN, ETC.)
• Knowledge in Bond Mathematics 
• Experience coding in Python

At BNY, our culture speaks for itself. Here’s a few of our awards: 

• America’s Most Innovative Companies, Fortune, 2024
• World’s Most Admired Companies, Fortune 2024
• Human Rights Campaign Foundation, Corporate Equality Index, 100% score,
• Best Places to Work for Disability Inclusion, Disability: IN – 100% score,
• “Most Just Companies”, Just Capital and CNBC, 2024
• Dow Jones Sustainability Indices, Top performing company for Sustainability, 2024
• Bloomberg’s Gender Equality Index (GEI), 2023

Our Benefits and Rewards: 

BNY offers highly competitive compensation, benefits, and wellbeing programs rooted in a strong culture of excellence and our pay-for-performance philosophy. We provide access to flexible global resources and tools for your life’s journey. Focus on your health, foster your personal resilience, and reach your financial goals as a valued member of our team, along with generous paid leaves, including paid volunteer time, that can support you and your family through moments that matter. 

BNY is an Equal Employment Opportunity/Affirmative Action Employer - Underrepresented racial and ethnic groups/Females/Individuals with Disabilities/Protected Veterans.

BNY assesses market data to ensure a competitive compensation package for our employees. The base salary for this position is expected to be between $56,000 and $85,000 per year at the commencement of employment. However, base salary if hired will be determined on an individualized basis, including as to experience and market location, and is only part of the BNY total compensation package, which, depending on the position, may also include commission earnings, discretionary bonuses, short and long-term incentive packages, and Company-sponsored benefit programs. 

#LIHybrid

• Lead the research, development, and implementation of advanced quantitative models for pricing, hedging, and risk management.
• Oversee the validation and testing of trading strategies and risk models.
• Mentor and manage a team of quantitative analysts, fostering a high-performance culture.
• Collaborate closely with traders, portfolio managers, and risk officers to understand their needs and deliver solutions.
• Ensure all models comply with regulatory requirements and internal risk policies.
• Develop and maintain high-quality code in languages such as Python, C++, or R for model implementation.
• Evaluate and integrate new technologies and methodologies to enhance analytical capabilities.
• Present complex quantitative concepts and findings to senior management and stakeholders.
• Contribute to the firm's strategic direction in quantitative finance.
• Identify and address potential risks and inefficiencies in financial modeling processes.

Job Description

Application Deadline:

Address:

320 S Canal Street

Job Family Group:

Data Analytics & Reporting

Uses advanced analytical algorithms and technologies (e.g. machine learning, deep learning, artificial intelligence) to mine and analyze large sets of structured and unstructured data to obtain insights. Designs and constructs new processes for modeling data. Develops predictive models and leverages big data technology to design solutions that deliver smarter business decisions, improve customer experience, and drive productivity. Collaborates with other data and analytics professionals and teams to optimize, refine and scale analysis into mature analytics solutions.

• Plays an active role in the futuristic display of data, and advancement of innovative data strategies to understand consumer trends and address business problems.
• Collaborates with the product team and partners to understand and provide data-driven decision making, business planning and future roadmap.
• Collaborates with data scientists and other stakeholders to understand data and modeling needs and develop solutions that meet those needs.
• Designs, builds, and maintains large-scale data pipelines for reporting, analysis and machine leaning/deep leaning models.
• Conducts large-scale analysis of information to discover patterns and trends by combining different modules and algorithms.
• Develops machine learning/deep learning models. Investigates additional technologies and tools for developing innovative data solutions for business stakeholders.
• Uses analysis to provide recommendations and advice for business leaders to maintain to maintain market competitiveness.
• Fosters a culture aligned to BMO purpose, values and strategy and role models BMO values and behaviours in all that they do.
• Ensures alignment between values and behaviours that fosters and .
• Regularly connects work to BMO’s purpose, sets inspirational goals, defines clear expected outcomes, and ensures clear accountability for follow through.

Qualifications:

Advanced level of proficiency:

• Advanced degree (PhD ) in Data Science, Statistics, Applied Mathematics, Economics, or related quantitative field.
• 5+ years of data science experience.
• In-depth knowledge in machine learning and deep learning models, such as but not limited to, XGboosting, LSTM and LLM etc.
• Data visualization and polished communication skills.
• Self-driven problem solver; able to adapt and thrive in a dynamic, ambiguous, and customer-focused environment.
• Highly analytical, technically proficient, and able to learn new tools and ML models quickly.
• Trust, bias and ethics.
• Collaboration & team skills; with a focus on cross-group collaboration.
• Able to manage ambiguity.
• Data driven decision making.
• Experience with GenAI LLM models
• Experience with MLOps, building workflows for model retraining, monitoring and deploying
• Experience with ML frameworks such as TensorFlow, PyTorch
• Experience with cloud-based data platforms such as AWS or Azure
• Experience with data visualization tools such as Power BI

Salary :

$122,400.00 - $228,000.00

Pay Type:

Salaried

The above represents BMO Financial Group’s pay range and type.

Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group’s expected target for the first year in this position.

BMO Financial Group’s total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit: 

About Us

At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact.  We strive to help you make an impact from day one – for yourself and our customers.  We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

To find out more visit us at

BMO is proud to be an equal employment opportunity employer. We evaluate applicants without regard to , , , , (including , childbirth, or related medical conditions), , , expression, transgender status, sexual stereotypes, , status as a protected veteran, status as an individual with a , or any other legally protected characteristics. We also consider applicants with criminal histories, consistent with applicable federal, state and local law.

BMO is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a for any part of the employment process, please send an e-mail to and let us know the nature of your request and your contact information.

Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

Application Deadline:

Address:

Job Family Group:

Uses advanced analytical algorithms and technologies (e.g. machine learning, deep learning, artificial intelligence) to mine and analyze large sets of structured and unstructured data to obtain insights. Designs and constructs new processes for modeling data. Develops predictive models and leverages big data technology to design solutions that deliver smarter business decisions, improve customer experience, and drive productivity. Collaborates with other data and analytics professionals and teams to optimize, refine and scale analysis into mature analytics solutions.

• Plays an active role in the futuristic display of data, and advancement of innovative data strategies to understand consumer trends and address business problems.
• Collaborates with the product team and partners to understand and provide data-driven decision making, business planning and future roadmap.
• Collaborates with data scientists and other stakeholders to understand data and modeling needs and develop solutions that meet those needs.
• Designs, builds, and maintains large-scale data pipelines for reporting, analysis and machine leaning/deep leaning models.
• Conducts large-scale analysis of information to discover patterns and trends by combining different modules and algorithms.
• Develops machine learning/deep learning models. Investigates additional technologies and tools for developing innovative data solutions for business stakeholders.
• Uses analysis to provide recommendations and advice for business leaders to maintain to maintain market competitiveness.
• Fosters a culture aligned to BMO purpose, values and strategy and role models BMO values and behaviours in all that they do.
• Ensures alignment between values and behaviours that fosters diversity and inclusion.
• Regularly connects work to BMO's purpose, sets inspirational goals, defines clear expected outcomes, and ensures clear accountability for follow through.

Qualifications:

Advanced level of proficiency:

• Advanced degree (PhD preferred) in Data Science, Statistics, Applied Mathematics, Economics, or related quantitative field.
• 5+ years of data science experience.
• In-depth knowledge in machine learning and deep learning models, such as but not limited to, XGboosting, LSTM and LLM etc.
• Data visualization and polished communication skills.
• Self-driven problem solver; able to adapt and thrive in a dynamic, ambiguous, and customer-focused environment.
• Highly analytical, technically proficient, and able to learn new tools and ML models quickly.
• Trust, bias and ethics.
• Collaboration & team skills; with a focus on cross-group collaboration.
• Able to manage ambiguity.
• Data driven decision making.
• Experience with GenAI LLM models
• Experience with MLOps, building workflows for model retraining, monitoring and deploying
• Experience with ML frameworks such as TensorFlow, PyTorch
• Experience with cloud-based data platforms such as AWS or Azure
• Experience with data visualization tools such as Power BI

Salary :

Pay Type:

The above represents BMO Financial Group's pay range and type.

Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group's expected target for the first year in this position.

BMO Financial Group's total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit: 

About Us

At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact.  We strive to help you make an impact from day one - for yourself and our customers.  We'll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we'll help you gain valuable experience, and broaden your skillset.

To find out more visit us at

BMO is proud to be an equal employment opportunity employer. We evaluate applicants without regard to race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or any other legally protected characteristics. We also consider applicants with criminal histories, consistent with applicable federal, state and local law.

BMO is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please send an e-mail to BMOCareers.Support@ and let us know the nature of your request and your contact information.

Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

Application Deadline:

Address:

Job Family Group:

Uses advanced analytical algorithms and technologies (e.g. machine learning, deep learning, artificial intelligence) to mine and analyze large sets of structured and unstructured data to obtain insights. Designs and constructs new processes for modeling data. Develops predictive models and leverages big data technology to design solutions that deliver smarter business decisions, improve customer experience, and drive productivity. Collaborates with other data and analytics professionals and teams to optimize, refine and scale analysis into mature analytics solutions.

• Plays an active role in the futuristic display of data, and advancement of innovative data strategies to understand consumer trends and address business problems.
• Collaborates with the product team and partners to understand and provide data-driven decision making, business planning and future roadmap.
• Collaborates with data scientists and other stakeholders to understand data and modeling needs and develop solutions that meet those needs.
• Designs, builds, and maintains large-scale data pipelines for reporting, analysis and machine leaning/deep leaning models.
• Conducts large-scale analysis of information to discover patterns and trends by combining different modules and algorithms.
• Develops machine learning/deep learning models. Investigates additional technologies and tools for developing innovative data solutions for business stakeholders.
• Uses analysis to provide recommendations and advice for business leaders to maintain to maintain market competitiveness.
• Fosters a culture aligned to BMO purpose, values and strategy and role models BMO values and behaviours in all that they do.
• Ensures alignment between values and behaviours that fosters diversity and inclusion.
• Regularly connects work to BMO's purpose, sets inspirational goals, defines clear expected outcomes, and ensures clear accountability for follow through.

Qualifications:

Advanced level of proficiency:

• Advanced degree (PhD preferred) in Data Science, Statistics, Applied Mathematics, Economics, or related quantitative field.
• 5+ years of data science experience.
• In-depth knowledge in machine learning and deep learning models, such as but not limited to, XGboosting, LSTM and LLM etc.
• Data visualization and polished communication skills.
• Self-driven problem solver; able to adapt and thrive in a dynamic, ambiguous, and customer-focused environment.
• Highly analytical, technically proficient, and able to learn new tools and ML models quickly.
• Trust, bias and ethics.
• Collaboration & team skills; with a focus on cross-group collaboration.
• Able to manage ambiguity.
• Data driven decision making.
• Experience with GenAI LLM models
• Experience with MLOps, building workflows for model retraining, monitoring and deploying
• Experience with ML frameworks such as TensorFlow, PyTorch
• Experience with cloud-based data platforms such as AWS or Azure
• Experience with data visualization tools such as Power BI

Salary :

Pay Type:

The above represents BMO Financial Group's pay range and type.

Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group's expected target for the first year in this position.

BMO Financial Group's total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit: 

About Us

At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact.  We strive to help you make an impact from day one - for yourself and our customers.  We'll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we'll help you gain valuable experience, and broaden your skillset.

To find out more visit us at

BMO is proud to be an equal employment opportunity employer. We evaluate applicants without regard to race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or any other legally protected characteristics. We also consider applicants with criminal histories, consistent with applicable federal, state and local law.

BMO is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please send an e-mail to BMOCareers.Support@ and let us know the nature of your request and your contact information.

Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.