VP/MD Analytics

OneMain Financial; Wilmington (DE); On-site; USD 240,000 - 340,000; Full time

Job summary

OneMain Financial is seeking a data science leader to define the foundation of ML capabilities for auto finance, partnering with credit, operations, and business leaders. You will build a team, set strategy, and deliver core data science use cases to enable rapid growth while managing model risk and ensuring governance.

The role requires hands-on capability in the early days, strong stakeholder influence, and the ability to translate strategic priorities into concrete initiatives across

Qualifications

• Master’s Degree in a quantitative discipline; PhD preferred
• 6+ years in model development and implementation in consumer lending or related fields
• Expert experience designing and implementing machine learning solutions
• Advanced experience with open-source ML libraries in Python or R
• Experience mentoring data science talent and communicating with stakeholders

Responsibilities

• Collaborate with business and technology leaders to maximize ML impact in auto finance
• Design and build foundational data science practices and development of decision algorithms
• Research and develop new modeling techniques to stay at the forefront of the industry
• Leverage traditional and non-traditional data sources for insights and models
• Apply diverse ML techniques to solve complex, unstructured business problems
• Recruit, develop, and lead a high-performing data science team
• Present analyses and results to leaders to influence strategy and decisions
• Partner with technology leaders to evolve an advanced ML environment for auto finance
• Prioritize initiatives and translate strategy into actionable team work
• Collaborate with Model Risk, Legal, Compliance, Audit and other risk functions to meet standards

Job description

The Role

We\'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.

Responsibilities

• Collaborate, influence, and “bring along” business and technology leaders to maximize the impact of machine learning solutions in the auto finance businesses


• Design 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 lending


• Research and develop new modeling techniques that will keep OneMain at the forefront of the industry


• Research 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 industry


• Apply diverse statistical and machine learning techniques to analyze a variety of datasets to solve complex, unstructured business problems


• Work with wide range of open-source tools to analyze and extract value from granular tradeline level granular data


• Recruit, 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 strategies


• Independently complete analyses, draw conclusions, and present results to all levels of leaders in order to influence business/strategy decision


• Partner with technology leaders to build and evolve an advanced machine learning environment for auto finance


• Effectively prioritize competing initiatives across direct reports; translate strategic priorities into individual/team initiatives and manage expectations


• Collaborate with Model Risk, Legal, Compliance, Audit, and other risk management functions to ensure solutions are developed that meet expected standards and policies

Qualifications

• Master’s Degree in a quantitative discipline (Engineering, Statistics, Economics, Biostatistics, Physics, Computer Science, or related field); PhD preferred


• 6+ 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 important


• Expert experience designing, developing, and implementing machine learning solutions – must have experience developing and maintaining credit underwriting machine learning systems in a FCRA governed context


• Applied experience in a variety of modeling techniques like bagging, boosting, NLP and so forth, as was feature engineering


• Proven experience in communicating with stakeholders across all phases of machine learning modeling project, including validation, deployment, and ongoing monitoring


• Proven experience in assessing, mentoring, and developing junior data science talent


• Advanced experience in use of open-source machine learning libraries (Python or R) in a cloud-based environment


• Experience in identifying and managing the risks of machine learning systems


• Innovative and capable of developing creative solutions to complex, data-driven problems

OneMain 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.

OneMain Financial (NYSE: OMF) is the leader in offering nonprime customers responsible access to credit and is dedicated to improving the financial well-being of hardworking Americans. Since 1912, we\'ve looked beyond credit scores to help people get the money they need today and reach their goals for tomorrow. Our growing suite of personal loans, credit cards and other products help people borrow better and work toward a brighter future. In our more than 1300 community branches and across the U.S., team members help millions of customers solve critical financial needs, including debt consolidation, home and auto repairs, medical procedures and extending household budgets. We meet customers where they want to be - in person, by phone and online. At every level, we\'re committed to an inclusive culture, career development and impacting the communities where we live and work. Getting people to a better place has made us a better company for over a century. There\'s never been a better time to shine with OneMain.