Capital One
Financial Services
SeniorManager,DataScience-Anti-MoneyLaunderingModelingandAdvancedDataInsights
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“Senior Manager, Data Science - Anti-Money Laundering Modeling and Advanced Data Insights at Capital One. Skills: Machine Learning, Data Science, AML Modeling. Partner with cross-functional team. Leverage technologies to reveal insights”
Industry & Context.
Analyze data; Create insights
What They're Looking For.
Must Have
Bachelor's Degree in quantitative field plus 7 years experience, Master's Degree in quantitative field plus 5 years experience, PhD in quantitative field plus 2 years experience, 2 years open source programming experience, 2 years machine learning experience, 2 years relational databases experience
Nice to Have
PhD in STEM plus 4 years experience, 1 year AWS experience, 1 year managing people, 5 years Python, Scala, or R experience, 5 years AML modeling experience
What You'll Do.
Partner with cross-functional team
Leverage technologies to reveal insights
Build machine learning models
Translate complexity into business goals
How You'll Work.
Team & Collaboration
Cross-functional teams; Data scientists; Software engineers; Product managers
Communication Scope
Translate complexity
Full Job Description
Senior Manager, Data Science - Anti-Money Laundering Modeling and Advanced Data Insights Data is at the center of everything we do. 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. As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives. **Team Description** 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, fraud, terrorist financing, and human trafficking through the use of advanced analytic techniques, statistics, and machine learning models. We develop predictive models, monitoring dashboards, and reporting using tools such as AWS, Snowflake, Python, and Spark. Our team produces the model outputs and data insights to operate our AML program efficiently and effectively. As the model developer for advancing transaction monitoring with machine learning, our team is responsible for end to end development, deployment, and monitoring of production models **Role Description** **In this role, you will:** * Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love * Leverage a broad stack of technologies — Python, Conda, AWS, H2O, Spark, and more — to reveal the insights hidden within huge volumes of numeric and textual data * Build machine learning models through all phases of de
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