9,056 Predictive Models jobs in the United States

Job Description

We are seeking an Data Analysis to become a part of our New Jersey team!

We offer competitive salary and benefit package.

Benefits Include 3 Weeks of PTO and Generous Compensation!

Department: Finance

Shift: 9:00am-5:00pm (Mon-Fri) (Full Time)

Responsibilities:

• Analyze Customer GP Trend by payer source

• Analyze Customer GP Trend by drug type (RX, B/G, IV, OTC, Misc charges)

• Analyze Outside Customer data files for Contract compliance

• Analyze Outside Customer data files for new pricing proposal

• Review Customer Pricing detail to backup Customer Billing

• Assure Customers are billed at contracted rate

• Propose rates for customer price Re-negotiation

• Review large Customer Pricing discrepancy when requested by client

• Assist on projects involving data analysis

• Brand Generic trend,

• Overall pharmacy GP%

• Part D reimbursement Trends

• published pricing loaded in system

• Review Cost and Sales for abnormal trends

• Review billing errors and review process to correct going forward

Qualifications:

• High School diploma or equivalent is required.

• Long Term Care Pharmacy experience preferred.

• Microsoft word, excel, PDF experience preferred.

• Ability to analyze, organize and prioritize work accurately while meeting multiple deadlines.

• Ability to communicate effectively in both oral and written form.

• Ability to handle difficult and stressful situations with critical thinking and professional composure.

• Ability to understand and follow instructions.

• Ability to work independently and team player.

• Other duties as assign by the Finance Manager

EEO Statement

Specialty Rx, INC is fully committed to employing a diverse workforce. We recruit and retain talented individuals without regard to gender, race, age, marital status, disability, veteran status, sexual orientation and gender identity or any other status protected by federal, state or local law.

EO/Minorities/Females/Disabled/Veterans

Please apply here

Requirements

Need Banking domain exp is must.

Need good Data analysis and sql skills and very good with large data crunching
• Minimum 5 years of hands-on analytical experience in working as a Data and Business Analyst
• Experience leading projects end to end including international stakeholders
• Conduct end-to-end evaluations of existing processes to design and implement process enhancements and role redesigns to streamline operations and improve efficiency
• Financial markets domain - require to have basic knowledge and understanding of Capital Market Products - EQ, Rates - Bonds & IRS, Credit - CDS and Bonds, Commodities etc. along with understanding of basic trade life cycle (from dealer broker perspective)
• Experience working with relational / non-relational databases to turn into insights
• Experience with tools like SQL, Excel & Advanced Excel, Project Management tools like Jira, Confluence, SharePoint
• Hands-on experience in Scripting Languages (Python)
• Experience in troubleshooting code and logs
• Excellent interpersonal and communication skills in English

• Assistance in maintaining metrics essential for accurate reporting to management on this initiative.
• Experience in data analysis and reporting
• Proficiency in all Microsoft office productivity products, including excel
• Basic understanding of application architecture and IT infrastructure
• General understanding of Software Asset Management concepts
• Excellent collaborative skills
• Ability work on multiple activities simultaneously
• Experience in working in a team environment with responsibilities that are time sensitive

Manager- Data Analysis

At Capital One, data is at the center of everything we do. When we launched as a startup we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making.

What you’ll do:

• Drive current and future strategy by leveraging your analytical skills

• Assist with building and using models to test and validate data

• Work with vast amounts of data in new and evolving environments

• Be a part of growing and developing our brand in new and emerging markets

• Leverage analytics to create a customer experience above our peers

• Lead a team of talented junior analysts on an exciting professional journey while mentoring them and elevating their careers

• Be a part of the full life cycle of projects and see end results

• Collaborate across business units

• Work with top talent in a fast paced, entrepreneurial environment where analytics and good data are a top priority

• Experience real work life balance, with little travel involved

On any given day you will be:

• Mining data to arrive at specific and crucial information for the organization

• Identifying and implementing process, data, and reporting improvements for the organization

• Working with large and complex databases containing millions to billions of records

• Improving operational efficiencies and effectiveness

• Conducting analysis to evaluate processes and tests

• Extracting and analyzing data to gauge product offerings

• Consulting on the design and implementation of new production and data storage systems

• Developing and implementing strategic tests of products, initiatives and marketing materials

An ideal candidate will be on the leading edge of Analytical technology with a passion for the newest and most innovative tools. Possessing strong problem solving and conceptual thinking abilities in addition to communication, interpersonal and leadership skills are also important. This position will be in a fast-paced and entrepreneurial environment where you will be handling multiple concurrent projects while working independently and in teams. This role will have a strong Business Intelligence component and those with a BI background are strongly encouraged to apply.

Basic Qualifications

• Currently has, or is in the process of obtaining a Bachelor’s Degree in quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science or a related quantitative field) plus at least 6 years of experience performing data analytics, or currently has, or is in the process of obtaining a Master’s Degree plus at least 4 years of experience performing data analytics with an expectation that required degree will be obtained on or before the scheduled start date.

• At least 4 years of experience performing professional data analysis work

• At least 4 years of experience performing programming

Preferred Qualifications:

• Master’s Degree in a Science, Technology, Engineering, Mathematics discipline

• At least 7 years of professional data analysis work experience

• At least 4 years of experience with Python, R, Spark or SQL

• At least 1 year of experience in people management

• At least 1 years of project management experience

• At least 1 year of experience in Tableau

• Proficient utilizing and developing within AWS service

Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.

The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.

McLean, VA: $158,400 - $180,800 for Data Analysis Manager

Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.

This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.

Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website ( . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

This role is expected to accept applications for a minimum of 5 business days.

No agencies please. Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.

If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

For technical support or questions about Capital One's recruiting process, please send an email to

Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.

Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Job Description:

This position requires office presence of a minimum of 5 days per week and is only located in the location(s) posted.

Locations: Dallas, TX, and Atlanta, GA

No relocation is offered.

At AT&T, we empower leaders to drive change in a fast-evolving, connected world. Your strategic vision will help serve customers and transform lives through innovative solutions and impactful connections.

Overall Purpose:

Research, collect, process, and organize data into various data repositories including maintaining and updating interfaces, creating data rules and data mapping, resolving data discrepancies across multiple business applications, then responding to business requests to analyze data to generate actionable insights.

Key Roles and Responsibilities:

Typical tasks may include, but are not limited to, the following:

• Data Collection and Processing: Gather, preprocess, and cleanse data from various sources to ensure it is accurate and ready for analysis.

• Data Analysis and Interpretation: Analyze data using statistical methods to identify trends and insights, creating reports and recommendations for business decisions.

• Reporting and Visualization: Create clear, factual/precise, and compelling data visualizations and reports to effectively communicate findings to stakeholders.

• Discrepancy Resolution and Quality Assurance: Identify, resolve, and ensure the accuracy of data discrepancies across platforms, maintaining data reliability through quality control and auditing.

• Analytical Tools: Includes SQL, PowerBI, Python, etc.

Job Contribution:

An experienced professional with advanced, interdisciplinary knowledge, resolving difficult and complex issues using broad professional concepts. Guides others, applying advanced principles and company practices. Leads moderate sized projects (or parts of larger projects) with strategic value. Operates autonomously with frequent senior leadership interaction.

Supervisor: No

TCP Career Step Differentiator:

Manages complex data movement, storage and analysis.

Education/Experience:

Bachelor's degree (BS/BA) desired in Computer Science, engineering, or STEM related field. 3+ years of related experience. Certification is required in some areas.

Compensation:

Our Senior Data Analysis earns between$118,800 - $78,200 USD Annual. Not to mention all the other amazing rewards that working at AT&T offers. Individual starting salary within this range may depend on geography, experience, expertise, and education/training.

Joining our team comes with amazing perks and benefits:

• Medical/Dental/Vision coverage?

• 401(k) plan?

• Tuition reimbursement program?

• Paid Time Off and Holidays (based on date of hire, at least 23 days of vacation each year and 9 company-designated holidays)?

• Paid Parental Leave?

• Paid Caregiver Leave?

• Additional sick leave beyond what state and local law require may be available but is unprotected?

• Adoption Reimbursement?

• Disability Benefits (short term and long term)?

• Life and Accidental Death Insurance?

• Supplemental benefit programs: critical illness/accident hospital indemnity/group legal?

• Employee Assistance Programs (EAP)?

• Extensive employee wellness programs?

• Employee discounts up to 50% off on eligible AT&T mobility plans and accessories, AT&T internet (and fiber where available) and AT&T phone

If you're ready to make an impact on our business and your career, bring your bold ideas to a world of possibility. Apply today!

Ready to join our team? Apply today!

Weekly Hours:

40

Time Type:

Regular

Location:

Dallas, Texas

Salary Range:

106,100.00 - 178,200.00

It is the policy of AT&T to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, AT&T will provide reasonable accommodations for qualified individuals with disabilities. AT&T is a fair chance employer and does not initiate a background check until an offer is made.

AT&T will consider for employment qualified applicants in a manner consistent with the requirements of federal, state and local laws

We expect employees to be honest, trustworthy, and operate with integrity. Discrimination and all unlawful harassment (including sexual harassment) in employment is not tolerated. We encourage success based on our individual merits and abilities without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, disability, marital status, citizenship status, military status, protected veteran status or employment status

Known for being a great place to work and build a career, KPMG provides audit, tax and advisory services for organizations in today's most important industries. Our growth is driven by delivering real results for our clients. It's also enabled by our culture, which encourages individual development, embraces an inclusive environment, rewards innovative excellence and supports our communities. With qualities like those, it's no wonder we're consistently ranked among the best companies to work for by Fortune Magazine, Consulting Magazine, Seramount, Fair360 and others. If you're as passionate about your future as we are, join our team.

KPMG is currently seeking a Manager, Data Analysis to join our Digital Nexus technology organization. This is a hybrid work opportunity.

• Collaborate with business stakeholders to understand and document detailed data requirements, including data interfaces and mappings
• Perform data analysis, interpret data, and participate actively in data sourcing activities, acting as the subject matter expert (SME) for data-related inquiries
• Create and maintain comprehensive business and technical requirement documents to guide data initiatives; design and implement robust data quality checks and support data modeling efforts to ensure high data integrity and usefulness
• Participate actively in project management processes, including effort estimation, attending regular meetings with project managers and developers, and contributing to the creation of test plans, project plans, and implementation plans
• Work closely with developers to ensure proper understanding and adherence to data specifications; support quality assurance processes and user acceptance testing to ensure data solutions meet business requirements
• Provide ongoing post-production support for maintenance and enhancement of data solutions; lead and mentor other team members, promoting best practices in data modeling, data quality, and metadata management

• Minimum five years of recent experience in data analysis, data sourcing, and integration
• Bachelor's degree from an accredited college or university is preferred
• Proficiency in SQL for querying and managing SQL databases, and experience with data analysis tools such as Alteryx
• Practical experience in data warehousing, business intelligence, and data quality projects; familiarity with working with Big Data technologies, particularly with Azure Data Lake
• Demonstrated ability to design and develop complex data mappings, sessions, workflows, and identify optimization opportunities
• Excellent problem-solving skills and the ability to work independently and within a team; strong communication skills to effectively interact with technical and non-technical stakeholders
• Must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future. KPMG LLP will not sponsor applicants for U.S. work visa status for this opportunity (no sponsorship is available for H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT or any other employment-based visa

KPMG LLP (the U.S. member firm of KPMG International) offers a comprehensive compensation and benefits package. KPMG is an equal opportunity employer. KPMG complies with all applicable federal, state and local laws regarding recruitment and hiring. All qualified applicants are considered for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, citizenship status, disability, protected veteran status, or any other category protected by applicable federal, state or local laws. The attached link contains further information regarding the firm's compliance with federal, state and local recruitment and hiring laws. No phone calls or agencies please.

KPMG does not currently require partners or employees to be fully vaccinated or test negative for COVID-19 in order to go to KPMG offices, client sites or KPMG events, except when mandated by federal, state or local law. In some circumstances, clients also may require proof of vaccination or testing (e.g., to go to the client site).

KPMG recruits on a rolling basis. Candidates are considered as they apply, until the opportunity is filled. Candidates are encouraged to apply expeditiously to any role(s) for which they are qualified that is also of interest to them.

Los Angeles County applicants: Material job duties for this position are listed above. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness, and safeguard business operations and company reputation. Pursuant to the California Fair Chance Act, Los Angeles County Fair Chance Ordinance for Employers, Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Known for being a great place to work and build a career, KPMG provides audit, tax and advisory services for organizations in today's most important industries. Our growth is driven by delivering real results for our clients. It's also enabled by our culture, which encourages individual development, embraces an inclusive environment, rewards innovative excellence and supports our communities. With qualities like those, it's no wonder we're consistently ranked among the best companies to work for by Fortune Magazine, Consulting Magazine, Seramount, Fair360 and others. If you're as passionate about your future as we are, join our team.

KPMG is currently seeking a Manager, Data Analysis to join our Digital Nexus technology organization. This is a hybrid work opportunity.

• Collaborate with business stakeholders to understand and document detailed data requirements, including data interfaces and mappings
• Perform data analysis, interpret data, and participate actively in data sourcing activities, acting as the subject matter expert (SME) for data-related inquiries
• Create and maintain comprehensive business and technical requirement documents to guide data initiatives; design and implement robust data quality checks and support data modeling efforts to ensure high data integrity and usefulness
• Participate actively in project management processes, including effort estimation, attending regular meetings with project managers and developers, and contributing to the creation of test plans, project plans, and implementation plans
• Work closely with developers to ensure proper understanding and adherence to data specifications; support quality assurance processes and user acceptance testing to ensure data solutions meet business requirements
• Provide ongoing post-production support for maintenance and enhancement of data solutions; lead and mentor other team members, promoting best practices in data modeling, data quality, and metadata management

• Minimum five years of recent experience in data analysis, data sourcing, and integration
• Bachelor's degree from an accredited college or university is preferred
• Proficiency in SQL for querying and managing SQL databases, and experience with data analysis tools such as Alteryx
• Practical experience in data warehousing, business intelligence, and data quality projects; familiarity with working with Big Data technologies, particularly with Azure Data Lake
• Demonstrated ability to design and develop complex data mappings, sessions, workflows, and identify optimization opportunities
• Excellent problem-solving skills and the ability to work independently and within a team; strong communication skills to effectively interact with technical and non-technical stakeholders
• Must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future. KPMG LLP will not sponsor applicants for U.S. work visa status for this opportunity (no sponsorship is available for H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT or any other employment-based visa

KPMG LLP (the U.S. member firm of KPMG International) offers a comprehensive compensation and benefits package. KPMG is an equal opportunity employer. KPMG complies with all applicable federal, state and local laws regarding recruitment and hiring. All qualified applicants are considered for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, citizenship status, disability, protected veteran status, or any other category protected by applicable federal, state or local laws. The attached link contains further information regarding the firm's compliance with federal, state and local recruitment and hiring laws. No phone calls or agencies please.

KPMG does not currently require partners or employees to be fully vaccinated or test negative for COVID-19 in order to go to KPMG offices, client sites or KPMG events, except when mandated by federal, state or local law. In some circumstances, clients also may require proof of vaccination or testing (e.g., to go to the client site).

KPMG recruits on a rolling basis. Candidates are considered as they apply, until the opportunity is filled. Candidates are encouraged to apply expeditiously to any role(s) for which they are qualified that is also of interest to them.

Los Angeles County applicants: Material job duties for this position are listed above. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness, and safeguard business operations and company reputation. Pursuant to the California Fair Chance Act, Los Angeles County Fair Chance Ordinance for Employers, Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

• Transportation Modeling & Analysis Group - This intern will support the latest update to SACOG's regional travel demand model, which is used as a key tool for the region's long-range planning, transportation project evaluation, and air quality conformity requirements.
• Data & Mapping Services Group - This intern will support data collection and analysis across a broad set of sources that are used to map and track progress, evaluate land uses and development, and support regional planning.

• Make a Difference: Support planning work that improves mobility and equity in local communities
• Grow Your Skills: Gain real-world experience in data analysis, field methods, and transportation policy.
• Work Flexibly: Flexible scheduling around your academic calendar.
• Be Part of a Mission: Help SACOG plan for a more inclusive, sustainable, and connected future.

• Enhances employee productivity, satisfaction, and ability to collaborate.
• Improves recruitment and retention
• Reduces greenhouse gas emission, vehicle miles travels (VMT), traffic and parking congestion, and air pollution

• Gather, track, update and maintain regional indicators
• Create summary and tracking tables for analysis and reporting
• Use Quality Assurance/Quality Control activities to

Manager, Data Analysis

At Capital One, data is at the center of everything we do. When we launched as a startup we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making.

What you’ll do:

• Drive current and future strategy by leveraging your analytical skills

• Assist with building and using models to test and validate data

• Work with vast amounts of data in new and evolving environments

• Be a part of growing and developing our brand in new and emerging markets

• Leverage analytics to create a customer experience above our peers

• Lead a team of talented junior analysts on an exciting professional journey while mentoring them and elevating their careers

• Be a part of the full life cycle of projects and see end results

• Collaborate across business units

• Work with top talent in a fast paced, entrepreneurial environment where analytics and good data are a top priority

• Experience real work life balance, with little travel involved

On any given day you will be:

• Mining data to arrive at specific and crucial information for the organization

• Identifying and implementing process, data, and reporting improvements for the organization

• Working with large and complex databases containing millions to billions of records

• Improving operational efficiencies and effectiveness

• Conducting analysis to evaluate processes and tests

• Extracting and analyzing data to gauge product offerings

• Consulting on the design and implementation of new production and data storage systems

• Developing and implementing strategic tests of products, initiatives and marketing materials

An ideal candidate will be on the leading edge of Analytical technology with a passion for the newest and most innovative tools. Possessing strong problem solving and conceptual thinking abilities in addition to communication, interpersonal and leadership skills are also important. This position will be in a fast-paced and entrepreneurial environment where you will be handling multiple concurrent projects while working independently and in teams. This role will have a strong Business Intelligence component and those with a BI background are strongly encouraged to apply.

Basic Qualifications

• Currently has, or is in the process of obtaining a Bachelor’s Degree in quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science or a related quantitative field) plus at least 6 years of experience performing data analytics, or currently has, or is in the process of obtaining a Master’s Degree plus at least 4 years of experience performing data analytics with an expectation that required degree will be obtained on or before the scheduled start date.

• At least 4 years of experience performing professional data analysis work

• At least 4 years of experience performing programming

Preferred Qualifications:

• Master’s Degree in a Science, Technology, Engineering, Mathematics discipline

• At least 7 years of professional data analysis work experience

• At least 4 years of experience with Python, R, Spark or SQL

• At least 1 year of experience in people management

• At least 1 years of project management experience

• At least 1 year of experience in Tableau

• Proficient utilizing and developing within AWS service

Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.

The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.

McLean, VA: $158,400 - $80,800 for Data Analysis Manager

Richmond, VA: 144,000 - 164,400 for Data Analysis Manager

Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.

This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.

Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website ( . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

This role is expected to accept applications for a minimum of 5 business days.

No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.

If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

For technical support or questions about Capital One's recruiting process, please send an email to

Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.

Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).