Manager, Data Analyst - AML

Capital One • Richmond, VA

4d • $149,800 - $188,100 • Hybrid

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 models. The team develops data sourcing, predictive models, monitoring, and reporting, and is responsible for end-to-end development, deployment, and monitoring of transaction-monitoring risk models. Its technology includes AWS, Snowflake, Python, and Spark.

The Manager, Data Analyst partners with teams across the enterprise, including Product and Technology, to support data-driven decision-making, rigorous data governance, analytical data stores, and business insights. The role combines hands-on analytics and technical work with strategic influence and people leadership. It includes leading and mentoring junior analysts, collaborating across business units, and managing multiple concurrent projects independently and as part of teams in a fast-paced environment. The role has a strong Business Intelligence component, is hybrid, and involves little travel.

Day-to-day work may include mining large databases, identifying and implementing process, data, and reporting improvements, evaluating processes and tests, analyzing product offerings, advising on production and data-storage systems, and designing strategic tests of products, initiatives, and marketing materials. The position is based on a full-time annual salary range that varies by location and is also eligible for performance-based incentive compensation. Capital One offers a comprehensive benefits package; eligibility varies by employment status and management level.

Requirements

• Currently holds, or is obtaining by the scheduled start date, 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 a master’s degree plus at least 4 years of data analytics experience.
• At least 4 years of professional data analysis experience.
• At least 4 years of programming experience.
• Strong problem-solving and conceptual-thinking abilities.
• Strong communication, interpersonal, and leadership skills.
• Ability to handle multiple concurrent projects and work independently as well as 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.
• 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 customer experience.
• Lead, mentor, and develop junior analysts.
• Contribute to the full project life cycle, from project work through outcomes.
• Collaborate across business units and with enterprise partners, including Product and Technology.
• Mine data to identify important information for the organization.
• Identify and implement process, data, and reporting improvements.
• Work with large, complex databases containing millions to billions of records.
• Improve operational efficiency and effectiveness.
• Conduct analyses to evaluate processes and tests.
• Extract and analyze data to assess 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.
• Support end-to-end development, deployment, and monitoring of AML transaction-monitoring models.

Benefits

• Comprehensive health, financial, and other benefits supporting total well-being; eligibility varies by employment and management status.
• Performance-based incentive compensation, which may include cash bonuses and/or long-term incentives.

What This Job Offers

• Job Type: Full-time
• Career Level: Manager