Senior Director, Data Science - Head of Fair Lending Analytics - Fair & Responsible 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. Team Description 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. Role Description 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. 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 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 The Ideal Candidate is: 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 Basic Qualifications: 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 of experience leveraging open‑source programming languages for large‑scale data analysis At least 6 years of experience working with machine learning At least 6 years of experience utilizing relational databases Preferred Qualifications: PhD in a STEM field (Science, Technology, Engineering, or Mathematics) plus 7 years of experience in data analytics At least 1 year of experience working with AWS At least 4 years of experience managing people At least 6 years of experience in Python, Scala, or R for large‑scale data analysis At least 7 years of experience with machine learning Compensation McLean, VA: $314,800 - $359,300 for Senior Director, Data Science Richmond, VA: $286,200 - $326,700 for Senior Director, Data Science Other locations: compensation per local market guidelines at time of hiring. Benefits Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well‑being. Equal Opportunity Employer & Policies Capital 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 qualified applicants with a criminal history in a manner consistent with applicable laws regarding criminal background inquiries. For accommodations during the recruitment process, contact Capital One Recruiting at View phone number on click.appcast.io or View email address on click.appcast.io. All information provided will be kept confidential and used only for necessary accommodations. #J-18808-Ljbffr Capital One