Senior Manager, Data Science - Anti-Money Laundering Modeling and Advanced Data Insights

About the role

The Anti-Money Lending (AML) Modeling and Advanced Data Insights team at Capital One is dedicated to modernizing the detection of money laundering, fraud, terrorist financing, and human trafficking through advanced analytic techniques, statistics, and machine learning models. Our team develops predictive models, monitoring dashboards, and reports using tools like AWS, Snowflake, Python, and Spark.

Responsibilities

• 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 development, from design through training, evaluation, validation, and implementation.
• Flex interpersonal skills to translate the complexity of your work into tangible business goals.

Requirements

• Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date:
• A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 7 years of experience performing data analytics.
• A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 5 years of experience performing data analytics.
• A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 2 years of experience performing data analytics.
• At least 2 years of experience leveraging open source programming languages for large scale data analysis.
• At least 2 years of experience working with machine learning.
• At least 2 years of experience utilizing relational databases.

Qualifications

• PhD in “STEM” field (Science, Technology, Engineering, or Mathematics) plus 4 years of experience in data analytics.
• At least 1 year of experience working with AWS.
• At least 1 year of experience managing people.
• At least 5 years’ experience in Python, Scala, or R for large scale data analysis.
• At least 5 years’ experience with machine learning, especially in the AML modeling area.

Skills

Technical: Comfortable with open-source languages and passionate about developing further. Experience with clustering, classification, sentiment analysis, time series, and deep learning.

Data Guru: Experienced in retrieving, combining, and analyzing data from a variety of sources and structures. Knowledgeable in interpreting a confusion matrix or a ROC curve.

Benefits

Capital One offers a comprehensive, competitive, and inclusive set of health, financial, and other benefits designed to support your total well-being.

Pay

Salaries for this role vary by location, ranging from $209,000 - $238,500 for Sr Mgr, Data Science in Chicago, IL to $229,900 - $262,400 for Sr Mgr, Data Science in McLean, VA.

Schedule

This role is full-time.