Business Manager - Modeling and Advanced Data Insights
About the role
The Anti-Money Laundering (AML) Modeling and Advanced Data Insights team is modernizing how Capital One identifies potential money laundering, terrorist financing, and human trafficking using advanced analytic techniques, statistics, and machine learning models. The team develops data sourcing, predictive models, monitoring, and reporting with tools such as AWS, Snowflake, Python, and Spark. As the model developer for advancing transaction monitoring with machine learning, the team is responsible for end‑to‑end development, deployment, and monitoring of these critical risk management models. As a Business Analysis Manager at Capital One, you will apply strategic and analytical skills to major company challenges, collaborating with world‑class professionals to develop and test strategies that impact the bottom line in a collaborative environment that values insight, encourages taking on new responsibility, promotes continuous learning, and rewards innovation.
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.
- 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; coach and mentor associates to develop and retain talent.
- 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 design and development of new customer experiences and breakthrough technology for 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 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.
Requirements
- 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
Qualifications
- Master’s 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.
Skills
- Python