The Associate Director of Model Governance & Analytics will be responsible for assisting with enterprise-wide model governance policies and procedures including but not limited to Models, Quantitative Fair Lending, Data and Compliance for our consumer credit portfolio (Personal Loans, Credit Cards, Automotive loans and Point of sale loans).

This role is responsible for the continued development of OneMain’s governance framework, while infusing accountability across the enterprise to those high standards. You will partner with technical and domain specific experts across the organization to stand up processes and frameworks aimed at reducing model and fair lending risk.

Responsibilities

Provide model governance oversight in development of new models or modifications to existing models used for across the customer credit lifecycle, i.e. marketing through collections. Closely partner with data science team and provide guidance on leading model risk management practices.Provide model governance oversight over CECL and loss models and write model governance reports for distribution to audit agencies. Performs independent challenges to models and identifies model weaknesses and opportunities for improvement.Ensure that modeling specifications and constructsadhere to defined mathematical, statistical & industry standardsParticipates in hands on model validation & monitoring is on a periodic basis and evaluates whether validations and other reviews performed by the model governance team, business or third parties follow the requirements set forth in the MRM Policy.Periodically assess models and business strategies for Fair lending risk by developing and/or enhancing quantitative fair lending framework across different products.Assess new statistical techniques of identifying fair lending risk (disparate impact/treatment) that is both intuitive and statistically sound to measure up to regulator scrutiny.

Qualifications:

Masters in a quantitative field such as Mathematics, Operations research or Statistics.
Advanced knowledge of statistical and machine learning methods, techniques, formulas, and tests.
7 years’ progressive experience in consumer credit industry
4 years of progressive experience in Model Risk ManagementSolid knowledge of key econometric and statistical techniques (i.e., predictive modeling, various regressions, decision trees, and data mining methods.Strong technical & applied background in building Machine learning models, specifically tree based models like XGBoost.Excellent verbal, written, and interpersonal communication skills.Applied experience with LLM’s a plusProficient in SQL, Python, and MS office suite.

Preferred Qualifications:

PhD in Mathematics, Operations Research or Statistics

Location: HYBRID: Wilmington, DE // Tues. - Thurs.

Who we Are

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.

Driven collaborators and innovators, our team thrives on transformative digital thinking, customer-first energy and flexible work arrangements that grow lives, careers and our company. 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.

Because team members at their best means OneMain at our best, we provide opportunities and benefits that make their health and careers a priority. That’s why we’ve packed our comprehensive benefits package for full- and some part-timers with: 

Health and wellbeing options including medical, prescription, dental, vision, hearing, accident, hospital indemnity, and life insurances Up to 4% matching 401(k)   Employee Stock Purchase Plan (10% share discount)   Tuition reimbursement   Paid time off (15 days’ vacation per year, plus 2 personal days, prorated based on start date) Paid sick leave as determined by state or local ordinance, prorated based on start date Paid holidays (7 days per year, based on start date) Paid volunteer time (3 days per year, prorated based on start date) 

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