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NEXTMOVEFDE careers · United States

Senior Business Analyst - Anti-Money Laundering (AML) Modeling

AI summary of the role

This Senior Business Analyst role on the AML Modeling and Advanced Data Insights team at Capital One focuses on modernizing anti-money laundering detection using advanced analytics, statistics, and machine learning.

What you’ll do

  • Identify business challenges and opportunities for improvement using analysis to make strategic or tactical recommendations
  • Perform modeling and analytics to assist new product and pricing strategies for various lending products
  • Support direct-to-consumer marketing efforts and build targeted insights for new customer experiences
  • Drive step-change improvements in credit performance by connecting consumer credit trends to historical behavior and creating risk models

What you’ll bring

  • 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, or related) or Master's Degree in a quantitative field or MBA with quantitative concentration
  • 1+ years of experience in statistical model building (preferred)
  • 1+ years of experience in SQL querying (preferred)

Technologies

AWS · Snowflake · Python · Spark · SQL · machine learning · statistical modeling

Source and classification

Internal deployment & tooling · Evidence for this classification:

Senior Business Analyst - Anti-Money Laundering (AML) Modeling Summary: As a Senior Business Analyst at Capital One, you will apply your strategic and analytical skills to major company challenges. You will team with world-class professionals to develop and test strategies that ultimately impact the bottom line. And you will do it all in a collaborative environment that values your insight, encourages you to take on new responsibility, promotes continuous learning, and rewards innovation. About the organization: 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
More from the job description

Senior Business Analyst - Anti-Money Laundering (AML) Modeling Summary: As a Senior Business Analyst at Capital One, you will apply your strategic and analytical skills to major company challenges. You will team with world-class professionals to develop and test strategies that ultimately impact the bottom line. And you will do it all in a collaborative environment that values your insight, encourages you to take on new responsibility, promotes continuous learning, and rewards innovation. About the organization: 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. General Responsibilities: Analysis: Identify business challenges and opportunities for improvement and solve for them using analysis to make strategic or tactical recommendations Product: Perform modeling/analytics to assist new product and pric [... source excerpt omitted ...] ing efforts for select products, and strategic intent for products distributed through the retail channel. Help 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: 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 Execution: Involve problem frame-works, develop hypotheses, test and analysis, solution development, scope operational feasibility, lead implementation ef [... source excerpt omitted ...] n an uncertain and fluid environment Successful track record of thriving in a fast paced, entrepreneurial and dynamic environment. Previous consulting experience is a plus Basic Qualifications: At least 2 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 relat

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