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

Senior Director, Data Science – Head of Fair Lending Analytics – Fair & Responsible Banking ComplianceData 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 relational database technology in 1988. Fast-forward a few years, and this innovation and our passion for data has propelled us to a Fortune 200 company and a leader in 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 computing and machine learning technologies and operating across billions of customer records to unlock big opportunities that help everyday people save money, time, and more in their financial lives.Team DescriptionThe 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 (F&R/B), the Fair Lending Analytics group partners with Legal department subject-matter experts to conduct data analyses of lending decisions and provide 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.Role DescriptionIn addition to being a great 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 – F&R/B Officer and Senior Compliance Officer, Consumer Regulatory, and will join the F&R/B leadership team.In this role, you will:Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers loveLeverage a broad stack of technologies – Python, Conda, AWS, H2O, Spark, and more – to reveal the insights hidden within huge volumes of numeric and textual dataBuild machine learning models through all phases of development, from design through training, evaluation, validation, and implementationFlex your interpersonal skills to translate the complexity of your work into tangible business goals and effectively mitigate compliance risksDevelop and implement fair lending and responsible data-use processes at Capital One to enable a winning credit business in an AI worldThe Ideal Candidate is:Innovative: you continually research and evaluate emerging technologies and stay current on state-of-the-art methods, technologies, and applications, seeking opportunities to apply them.A leader: you challenge conventional thinking and work with stakeholders to identify and improve the status quo, and you're passionate about talent development for your team and beyond.Technical: you're comfortable with open-source languages and passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms.Statistically-minded: you've built models, validated them, and backtested them. You can interpret a confusion matrix or a ROC curve and have experience with clustering, classification, sentiment analysis, time series, and deep learning.A data guru: "big data" doesn't faze you. You can retrieve, combine, and analyze data from a variety of sources and structures, knowing that understanding the data is often key to great data science.Influential: you bring a proven track record of building relationships, inspiring trust, appropriately escalating issues in a timely way, and making grounded recommendations that balance risks and business needs.Basic QualificationsCurrently 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 11 years of experience performing data analyticsA 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 9 years of experience performing data analyticsA PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 6 years of experience performing data analyticsAt least 6 years of experience leveraging open-source programming languages for large-scale data analysisAt least 6 years of experience working with machine learningAt least 6 years of experience utilizing relational databasesPreferred QualificationsPhD in a STEM field (Science, Technology, Engineering, or Mathematics) plus 7 years of experience in data analyticsAt least 1 year of experience working with AWSAt least 4 years of experience managing peopleAt least 6 years of experience in Python, Scala, or R for large-scale data analysisAt least 7 years of experience with machine learningBenefits and CompensationCapital One will consider sponsoring a new qualified applicant for employment authorization for this position.The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations. Salaries for part-time roles will be prorated based upon the agreed number of hours to be regularly worked.McLean, VA: $314,800 – $359,300 for Sr Dir, Data ScienceRichmond, VA: $286,200 – $326,700 for Sr Dir, Data ScienceThis role is also eligible to earn performance-based incentive compensation, which may include cash bonus(es) and/or long-term incentives (LTI). Incentives could be discretionary or non-discretionary depending on the plan.Capital One offers a comprehensive, competitive, and inclusive set of health, financial, and other benefits that support your total well-being.Equal Opportunity StatementCapital One is an equal opportunity employer (EOE, including disability/veteran) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries.J-18808-Ljbffr