The Anti-Money Laundering (AML) Modeling and Advanced Data Insights team is on a journey to modernize the way Capital One identifies potential money laundering, terrorist financing, and human trafficking through the use of advanced analytic techniques, statistics, and machine learning models. Our team develops data sourcing, predictive models, monitoring, and reporting using tools such as AWS, Snowflake, Python, and Spark. As the model developer for advancing transaction monitoring with machine learning, our team is responsible for end to end development, deployment, and monitoring of these critical risk management models

Key Responsibilities:

• Model Lifecycle Management: Lead advanced machine learning model development, continuous performance monitoring, and ongoing maintenance.

• Governance & Compliance: Oversee model governance and ensure full alignment with internal risk frameworks.

• Audit & Regulatory Leadership: Serve as the primary lead for handling all related internal audit and OCC regulatory requests.

GeneralResponsibilities:

• Strategic leadership: Develop business strategies that will drive growth, profitability, and competitive success for Capital One in the face of shifting consumer and regulatory demands

• Leadership: May manage and develop 1-2 analysts. Coaching and mentoring associates with a goal of developing and retaining talent at Capital One

• Product: Develop and implement new product and pricing strategies for various lending products; lead product level modeling/analytics

• Marketing: Lead direct-to-consumer marketing efforts for select products, and strategic intent for products distributed through the retail channel. Build targeted insights to inform the design and development of new customer experiences, as well as breakthrough technology and concepts designed to deliver on new go-to-market strategies

• Credit Risk: Drive step-change improvements in credit performance by connecting drivers of future consumer credit trends to historical behavior, creating risk models, and testing hypotheses using rigorous monitoring and analysis

• Execution: Manage and sequence delivery of business intent, build business requirements and execute against the product strategy. Oversee multiple projects and programs concurrently

• Partnership: Work closely with colleagues across Capital One including: IT, Sales, Operations, Finance and others to drive improvement in quality, volume, service, and profitability

• Strategic & analytic orientation: A proven track record of decision making and problem solving based on analytics. Conceptual thinking skills must be complemented by a strong quantitative orientation, given that a large part of the business is based on rigorous analytic marketing & credit risk management

• Strong business judgment, leadership and integrity: He/she should be a tenacious decisionmaker, able to bring a healthy, aggressive, yet responsible approach to business

• Solid people leadership experience: Ability to build and leverage the capabilities of a high-performing team, as well as business partners across the enterprise. He/she should foster innovation, drive critical decisions, hold business partners accountable, and be able to consistently deliver results

• Strong executive communication skills: Impeccable written and oral communication credentials, coupled with strategic influencing skills and the ability to drive agreement through intellect, interpersonal and negotiation skills

• Clear results orientation: display an intense focus on achieving bothshort and long termgoals. He/she should be able to drive and execute an agenda in an uncertain and fluid environment

• Successful track record of thriving in a fast paced, entrepreneurial and dynamic environment. Previous consulting experience is a plus

BasicQualifications:

• At least 3 years of professional experience performing analysis

• Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date:

  • A Bachelor's Degree in a quantitative field (Business, Finance, Accounting, Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, Computer engineering, Software engineering, Mechanical engineering, Information Systems or a related quantitative field)

  • A Master's Degree in a quantitative field (Business, Finance, Accounting, Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, Computer Engineering, Software Engineering, Mechanical engineering, Information Systems or a related quantitative field) or an MBA with a quantitative concentration

Preferred Qualifications:

• Master99s Degree in Business or quantitative field such as Finance, Economics, Physical Sciences, Math, Statistics, Engineering

• 5+ years of experience in analysis

• 2+ years of experience in financial services

• 2+ years of experience in people management

• 1+ year of experience in consulting

• 1+ year of experience in AML, Sanctions, Compliance, Risk or Fraud

• 1+ year of model design, development and deployment experience

• 1+ year of supervised machine learning models experience

• 1+ year of experience with Python, SQL, or AWS

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.

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 candidate99s offer letter.

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