Senior Business Analyst - Anti-money Laundering (aml) Modeling

Capital One Capital One · Banking · Chicago, IL +2

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 through advanced analytic techniques, statistics, and machine learning models. The team develops data sourcing, predictive models, monitoring, and reporting using tools like AWS, Snowflake, Python, and Spark. The role is responsible for end-to-end development, deployment, and monitoring of critical risk management models.

What you'd actually do

  1. Identify business challenges and opportunities for improvement and solve for them using analysis to make strategic or tactical recommendations
  2. Perform modeling/analytics to assist new product and pricing strategies for various lending products
  3. Support direct-to-consumer marketing efforts for select products, and strategic intent for products distributed through the retail channel.
  4. Support 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
  5. Involve problem frame-works, develop hypotheses, test and analysis, solution development, scope operational feasibility, lead implementation efforts and develop a monitoring plan

Skills

Required

  • At least 2 years of professional experience performing analysis
  • 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) or Master's Degree in a quantitative field or an MBA with a quantitative concentration

Nice to have

  • Master’s Degree in Business or quantitative field such as Finance, Economics, Physical Sciences, Math, Statistics, Engineering
  • 1+ years of experience in Statistical model building
  • 1+ years of experience in market research
  • 1+ years of experience in SQL querying
  • 2+ years of experience in business analysis
  • 1+ years of experience in consulting

What the JD emphasized

  • machine learning models
  • advanced analytic techniques
  • predictive models
  • risk management models

Other signals

  • machine learning models
  • advanced analytic techniques
  • data sourcing
  • predictive models
  • monitoring
  • reporting
  • end to end development
  • deployment
  • monitoring of these critical risk management models