VP/MD Analytics

The RoleWe're seeking a data science leader and practitioner to dream, design, and build machine learning foundations to drive our exciting growth agenda. The VP/MD of Data Science will focus on building the foundational data science capabilities to enable the integration and growth of our emerging Auto Finance businesses. This role will partner closely with credit, operations, and business leaders of our legacy direct auto and recently acquired indirect auto programs. This leader will set the data science strategy, build a team, and create core data science use cases and capabilities to enable rapid growth. Reporting to the Head of Data Science, this is a critical leadership position that requires key characteristics including the ability to partner and influence across stakeholders, apply strategic thinking, practical business problem solving, a forward leaning results focus, and team leadership and development. This is a rare and exciting opportunity to own the design and development of advanced machine learning capabilities spanning underwriting, marketing, operations, and risk, in a company which combines the best of FinTech and Banking. This individual will be charged with both building the future while delivering impact in the present and must have both the skills and orientation to get “hands on” the keyboard, particularly in the early days. This leader must also have a strong model risk management orientation – skilled in using “black box” approaches, while remaining skeptical and continuously challenging the team. ResponsibilitiesCollaborate, influence, and “bring along” business and technology leaders to maximize the impact of machine learning solutions in the auto finance businessesDesign and build the foundational data science practices and develop the decision making algorithms (using traditional regression models and machine learning algorithms) to enable rapid and sustained growth of auto finance lendingResearch and develop new modeling techniques that will keep OneMain at the forefront of the industryResearch and develop with both traditional and non-traditional data sources (such as information from other industries, tax data, deposit data, demographic data, digital data) to find insights which can be used in models to keep at the forefront of the industryApply diverse statistical and machine learning techniques to analyze a variety of datasets to solve complex, unstructured business problemsWork with wide range of open-source tools to analyze and extract value from granular tradeline level granular dataRecruit, develop, and lead a high performing and high potential team of data scientists to conduct statistical analysis and develop profit-driven decision framework and risk strategiesIndependently complete analyses, draw conclusions, and present results to all levels of leaders in order to influence business/strategy decisionPartner with technology leaders to build and evolve an advanced machine learning environment for auto financeEffectively prioritize competing initiatives across direct reports; translate strategic priorities into individual/team initiatives and manage expectationsCollaborate with Model Risk, Legal, Compliance, Audit, and other risk management functions to ensure solutions are developed that meet expected standards and policiesQualificationsMaster’s Degree in a quantitative discipline (Engineering, Statistics, Economics, Biostatistics, Physics, Computer Science, or related field); PhD preferred6+ years of progressively broader roles in model development and implementation experience; at least 4 of those years in consumer lending (credit card; unsecured loans; auto lending; or home equity); auto finance experience is a plus, but an enthusiasm and ability to rapidly learn a consumer lending asset class is more importantExpert experience designing, developing, and implementing machine learning solutions – must have experience developing and maintaining credit underwriting machine learning systems in a FCRA governed contextApplied experience in a variety of modeling techniques like bagging, boosting, NLP and so forth, as was feature engineeringProven experience in communicating with stakeholders across all phases of machine learning modeling project, including validation, deployment, and ongoing monitoringProven experience in assessing, mentoring, and developing junior data science talentAdvanced experience in use of open-source machine learning libraries (Python or R) in a cloud-based environmentExperience in identifying and managing the risks of machine learning systemsInnovative and capable of developing creative solutions to complex, data-driven problemsOneMain Holdings, Inc. is an Equal Employment Opportunity (EEO) employer. Qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship status, color, creed, culture, disability, ethnicity, gender, gender identity or expression, genetic information or history, marital status, military status, national origin, nationality, pregnancy, race, religion, sex, sexual orientation, socioeconomic status, transgender or on any other basis protected by law.SummaryLocation: Wilmington, DEType: Full time