About the Team

The DataLabs Anti-Money Laundering (AML) 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 development team 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.

Our mission is to empower data-driven decision-making, foster innovation without limits, and make Capital Ones AML program pre-eminent. We achieve this by implementing rigorous data governance practices, constructing analytical data stores, and harnessing the power of analytics to unlock valuable insights.

As a Business Analysis Manager at Capital One, you will apply your strategic and analytical skills to major company challenges. You'll team with world-class professionals to develop and test strategies that ultimately impact how the company manages compliance and risk. 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 Role:

General responsibilities include but are not limited to:

- 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 .

- Execution: Manage and sequence delivery of business intent, build business requirements and execute against the product strategy. Oversee multiple projects and programs concurrently .

- Partnership: Work closely with colleagues across Capital One including: Tech, Model Risk, Lines of Business, and others to drive improvement in quality, volume, service, and profitability .

- Strategic & analytic orientation: A proven track record of decision making and problem solving based on analytics. Conceptual thinking skills must be complemented by a strong quantitative orientation, and understanding of Statistical / ML models.

- Leadership: May manage and develop analysts. Coaching and mentoring associates with a goal of developing and retaining talent at Capital One .

- Strong business judgment, leadership and integrity: He/she should be a tenacious decision maker, able to bring a healthy, aggressive, yet responsible approach to business .

- Strong executive communication skills: Impeccable written and oral communication credentials. Communicate technical subject matter clearly and concisely to individuals from various backgrounds both verbally and through written communication; prepare presentations of complex technical concepts and research results to non-specialist audiences and senior management.

- Clear results orientation: display an intense focus on achieving both short- and long-term goals. They should be able to drive and execute an agenda in an uncertain and fluid environment.

- Successful track record of thriving in a fast paced, entrepreneurial and dynamic environment.

Basic Qualifications:

- Bachelor's degree in statistics, math, engineering, economics, econometrics, financial engineering, finance, or operations research with a quantitative emphasis.

- At least 5 years of work experience in analytics.

Preferred Qualifications:

- 2+ years of experience in key econometric and statistical techniques, model design, development and deployment experience.

- 2+ Years of experience with R or Python, relational databases, SQL.

- Analytical skills with high attention to detail and accuracy.

- 1+ years of people management experience.

- 1+ years of experience in financial services industry.

- 1+ years of experience working with Global Payment network.

- 1+ years of experience in Fraud or Anti-money Laundering domain.