Senior Director, Data Science - Head of Fair Lending Analytics - Fair & Banking Com

Senior Director, Data Science
- Head of Fair Lending Analytics
- Fair & Responsible Banking Compliance

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 computing and machine learning technologies and operating across billions of customer records to unlock opportunities that help everyday people save money, time, and reduce financial risk.

The Compliance and Ethics Department is seeking a Data Scientist to lead the group of data scientists and analysts that help identify and mitigate fair lending and related compliance risk throughout Capital One. As the quantitative arm of the Fair & Responsible Banking Compliance Team (FARB), the Fair Lending Analytics group partners with Legal department subject matter experts to conduct data analyses of lending decisions and provides guidance, advice and approvals for business area activities based on these analyses.

This role involves leading experienced data scientists across all aspects of fair lending reviews and monitoring, including performing statistical data analyses, modeling on judgmental areas, working with business on the review of credit models and policies, and enabling the responsible development of AI in credit processes.

In addition to being a skilled Data Scientist, this role requires a strong people leader responsible for overseeing a team of Compliance professionals, including other data scientists. This position reports to the Managing Vice President – FARB Officer and Senior Compliance Officer Consumer Regulatory, and will join the FARB leadership team.

• 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 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
• Use interpersonal skills to translate the complexity of your work into tangible business goals and effectively mitigate compliance risks
• Develop and implement fair lending and responsible data use processes at Capital One to enable a winning credit business in an AI world

• Innovative – continually researching and evaluating emerging technologies, staying current on state‑of‑the‑art methods and seeking opportunities to apply them
• A leader – challenging conventional thinking, working with stakeholders to improve the status quo, passionate about talent development for your own team and beyond
• Technical – comfortable with open‑source languages, passionate about developing further, with hands‑on experience building data science solutions using open‑source tools and cloud computing platforms
• Statistically‑minded – built models, validated them, backtested them, and able to interpret confusion matrices, ROC curves; experienced with clustering, classification, sentiment analysis, time series, and deep learning
• A data guru – “big data” doesn’t faze you; skilled at retrieving, combining, and analyzing data from a variety of sources and structures, understanding that data often holds the key to great data science
• Influential – proven track record of building relationships, inspiring trust, escalating issues appropriately and making grounded recommendations that balance risks and business needs

• 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
• Bachelor’s Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 11 years of experience performing data analytics
• Master’s Degree (or MBA with a quantitative concentration) in a quantitative field plus 9 years of experience performing data analytics
• PhD in a quantitative field plus 6 years of experience performing data analytics
• At least 6 years…