Sr. Manager, Fair Lending Analytics & Validation

Remote - US ABOUT OPORTUN Oportun (Nasdaq: OPRT) is a mission‑driven financial services company that puts its members' financial goals within reach. With intelligent borrowing, savings, and budgeting capabilities, Oportun empowers members with the confidence to build a better financial future. Since its inception, Oportun has provided more than $21.3 billion in responsible and affordable credit, saved its members more than $2.5 billion in interest and fees, and helped its members set aside an average of more than $1,800 annually. WORKING AT OPORTUN Working at Oportun means enjoying a differentiated experience of being part of a team that fosters a diverse, equitable and inclusive culture where we all feel a sense of belonging and are encouraged to share our perspectives. This inclusive culture is directly connected to our organization's performance and ability to fulfill our mission of delivering affordable credit to those left out of the financial mainstream. POSITION SUMMARY The Senior Manager, Model Risk Management will play a key role within Oportun’s Model Risk Management (MRM) function, with primary responsibility for fair lending analytics, testing, and oversight, while also supporting broader model validation activities as needed. This role requires a strong quantitative and technical background, with hands‑on experience in statistical analysis, machine learning models, and working with large datasets using tools such as Python and SQL. The Senior Manager will work closely with the Head of Model Risk Management and partner with the Director of Independent Model Validation, as well as stakeholders across Data Science, Strategy, and Technology. In addition to fair lending responsibilities, this role will contribute to the validation of high‑risk and complex models, including those leveraging AI/ML techniques, supporting Oportun’s overall model risk management framework and regulatory expectations (e.g., SR 11‑7). RESPONSIBILITIES Lead and execute fair lending analytics and testing across credit decisioning, underwriting, marketing and fraud prevention strategies Perform statistical analyses to assess disparate impact, bias, and fairness in models and business processes Evaluate model inputs, features, and outputs for potential fair lending risks Partner closely with the Head of Model Risk and Director of Model Validation to ensure alignment in methodologies, interpretation, and governance Translate complex analytical results into clear, actionable insights for stakeholders, including Risk, Legal, Compliance, and senior management Conduct independent model validation, annual model review, ongoing monitoring report review, and required action item review/closure on cutting‑edge machine learning models Deliver high‑quality model validation reports, highlighting risks and limitations of the model in a concise manner Work closely with business owners/model users and developers to understand the business context for model use and facilitate the model approval process Stay up to date with regulatory expectations of model development, use, and validation activities Support Oportun’s model risk management framework, including annual validation plans, model inventory, model risk ranking, and model risk governance Develop and maintain effective partnerships with key model stakeholders Support the coordination of model risk governance practices with the model users REQUIREMENTS Advanced degree (Master’s or PhD) in Statistics, Mathematics, Economics, Computer Science, or related quantitative field 5+ years of experience in fair lending analytics, model development, or model validation within financial services 5+ years of practical quantitative programming experience with Python, SQL, Spark and/or Scala 5+ years of experience leveraging machine learning methodologies, such as GBM, XGBoost, and NLP Excellent stakeholder management, communication, and written skills Good team player and willing to help and share PREFERRED / NICE‑TO‑HAVE SKILLS / EXPERIENCE The US salary range for this full‑time position is $148,100 - $237,000. The range displayed is a national minimum and maximum. Individual pay is determined by location and other factors such as experience and education. EEO STATEMENT We are proud to be an Equal Opportunity Employer and consider all qualified applicants for employment opportunities without regard to race, age, color, religion, gender, national origin, disability, sexual orientation, veteran status or any other category protected by the laws or regulations in the locations where we operate. We will never request personal identifiable information (bank, credit card, etc.) before you are hired. We do not charge you for pre‑employment fees such as background checks, training, or equipment. If you think you have been a victim of fraud by someone posing as us, please report your experience to the FBI’s Internet Crime Complaint Center (IC3). #J-18808-Ljbffr