Manager, Data Analyst - AML
About The Position
Capital One’s Anti-Money Laundering (AML) Modeling and Advanced Data Insights team modernizes the identification of potential money laundering, terrorist financing, and human trafficking through advanced analytics, statistics, and machine learning. The team develops data sourcing, predictive models, monitoring, and reporting using tools including AWS, Snowflake, Python, and Spark, and is responsible for the end-to-end development, deployment, and monitoring of AML transaction-monitoring models. The Manager, Data Analyst partners cross-functionally with teams across the enterprise, including Product and Tech, to deliver business value and influence strategy. The role contributes to data governance, analytical data stores, analytics, and AML program improvements. It includes leading and mentoring junior analysts, managing concurrent projects independently and collaboratively, and participating in the full project life cycle. The position has a strong Business Intelligence component and is designated as hybrid, with required on-site presence under Capital One’s hybrid policy.
Requirements
- Currently hold or be in the process of obtaining a bachelor’s degree in a quantitative field, such as Statistics, Economics, Operations Research, Analytics, Mathematics, or Computer Science, plus at least 6 years of data analytics experience; or hold a master’s degree plus at least 4 years of data analytics experience. The required degree must be obtained by the scheduled start date.
- At least 4 years of professional data analysis experience.
- At least 4 years of programming experience.
- Strong problem-solving and conceptual-thinking abilities, as well as communication, interpersonal, and leadership skills.
- Ability to handle multiple concurrent projects and work independently and in teams.
Nice To Haves
- Master’s degree in a Science, Technology, Engineering, or Mathematics discipline.
- At least 7 years of professional data analysis experience.
- At least 4 years of experience with Python, R, Spark, or SQL.
- At least 1 year of model development, model risk, or model validation experience.
- At least 1 year of AML, fraud, or regulatory compliance experience.
- At least 1 year of people management experience.
- At least 1 year of project management experience.
- Proficiency utilizing and developing within AWS services.
- A Business Intelligence background.
Responsibilities
- Drive current and future strategy using analytical skills.
- Assist with building and using models to test and validate data.
- Work with large volumes of data in new and evolving environments.
- Help grow and develop the organization’s brand in new and emerging markets.
- Use analytics to improve the customer experience.
- Lead, mentor, and develop junior analysts.
- Participate in the full life cycle of projects and deliver end results.
- Collaborate across business units and with enterprise teams, including Product and Tech.
- Mine data to identify information important to the organization.
- Identify and implement process, data, and reporting improvements.
- Work with large and complex databases containing millions to billions of records.
- Improve operational efficiency and effectiveness.
- Conduct analysis to evaluate processes and tests.
- Extract and analyze data to gauge product offerings.
- Consult on the design and implementation of production and data storage systems.
- Develop and implement strategic tests of products, initiatives, and marketing materials.
Benefits
- Comprehensive health, financial, and other benefits supporting total well-being.
- Eligibility for performance-based incentive compensation, which may include cash bonuses and/or long-term incentives.
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What This Job Offers
Job Type
Full-time
Career Level
Manager
