Data Scientist, Anti-Money Laundering

The Anti-Money Laundering Modeling and Advanced Data Insights team builds the machine learning models that identify potential money laundering, terrorist financing, or human trafficking. We develop data sourcing, predictive models, monitoring, and reporting using tools such as AWS, Snowflake, Python, Spark, and Rmarkdown. Work 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 development, from design through training, evaluation, validation, and implementation.

According to JobzMall, the average salary range for a Data Scientist, Anti-Money Laundering in 1680 Capital One Dr, McLean, VA 22102, USA is $98,000 to $148,000. This range can vary depending on the experience and qualifications of the data scientist.

Capital One Financial Corporation is an American bank holding company specializing in credit cards, auto loans, banking, and savings accounts, headquartered in McLean, Virginia. Capital One is ranked 11th on the list of largest banks in the United States by assets.