Senior Manager, Data Analysis - Anti Money Laundering

Senior Manager, Data Analysis - Anti Money Laundering

At Capital One, data is at the center of everything we do. When we launched as a startup we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making.

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 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.

The Role:  

Our mission is to empower data-driven decision-making, foster innovation without limits, and make Capital One’s 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 Senior Manager, you will partner cross-functionally with teams throughout the enterprise including Product and Tech to deliver tangible business value. You will enhance your technical and analytical skills, while also working with leaders to influence business strategies. With a network of hundreds of Data Analysts, Quants, and Data Scientists,, we drive innovation, shape strategic initiatives and propel AML Transaction monitoring to new heights in the data management landscape. If you’re passionate about leveraging data to drive real-world impact and thrive in a collaborative, forward-thinking environment, we want you on our team. Join us and be a catalyst for change in the world of data and analytics.

On any given day you will be challenged on three types of work – Innovation, Business Intelligence and Data Management: 

Innovation

• Use Open Source/Digital technologies to mine complex, voluminous, and different varieties of data sources and platforms

• Build well-managed data products, data solutions, tools, and capabilities to enable self-service frameworks for data consumers

• Demonstrate ability to explore and quickly grasp new technologies to progress varied initiatives

 Business Intelligence

• Partner with the business and translate the changes to design and develop tools and  techniques that enable capturing the risky behavior

• Drive analysis that provides meaningful insights on business strategies

 Data Management

• Drive an understanding and adherence to the principles of data quality management including metadata, lineage, and business definitions

• Work collaboratively with appropriate Tech teams to manage security mechanisms and data access governance

• Build and execute tools to monitor and report on data quality

An ideal candidate will possess strong problem solving and conceptual thinking abilities in addition to communication, interpersonal and leadership skills. This position will be in a fast-paced and entrepreneurial environment where you will be handling multiple concurrent projects while working independently and in teams.

Basic Qualifications

• Currently has, or is in the process of obtaining a Bachelor’s Degree in quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science or a related quantitative field) plus at least 7 years of experience performing data analytics, or currently has, or is in the process of obtaining a Master’s Degree plus at least 5 years of experience performing data analytics with an expectation that required degree will be obtained on or before the scheduled start date.

• At least 5 years of experience performing professional data analysis work

• At least 5 years of experience leading and developing with open source data technologies 

• At least 2 years of experience managing people