$150K - 250K a year
Set strategic direction for enterprise modeling including AI/ML, lead modeling teams, integrate new data sources, ensure model validation, and communicate with senior leadership and regulators.
15+ years relevant business experience with 10+ years managing modeling or data science teams, hands-on experience with predictive modeling and AI/ML, consumer credit industry knowledge, and strong communication skills.
Vice President, Modeling About the Company Top online personal lending marketplace Industry Financial Services Type Public Company Founded 2006 Employees 1001-5000 Categories • Finance • Personal Finance • Finance Technology • Credit • FinTech • Lending • Consumer Lending • Financial Services • Information Technology & Services • Internet • Technology • Peer to Peer Specialties • personal loans • investing • patient financing • marketplace lending • business loans • education financing • banking • and auto refi Business Classifications • Marketplace • B2B • B2C About the Role The Company is seeking a VP, Modeling to join their Decision Science group. The successful candidate will be responsible for setting the strategic direction for modeling across the enterprise, with a focus on enhancing the use of AI/ML models. This role involves engaging with various partners to acquire, integrate, and analyze new data sources for use in credit strategy, marketing, operations, and risk modeling. The VP will also lead a team of experienced individuals, ensure that models are developed and validated to effectively support the business's credit activities, and participate in industry forums to stay abreast of best practices. Clear communication with senior leadership, the board, and regulators is essential, as is the ability to influence and drive change cross-functionally. Candidates for this position should have a minimum of 15 years' of relevant business experience, with at least 10 years' in managing teams of modelers, data scientists, or other analytical functions. A Bachelor's or Master's degree in a quantitative discipline is preferred, or equivalent work experience. Hands-on experience with predictive modeling methods, machine learning, and deep learning toolkits is required. Experience in the consumer credit industry and a strong understanding of credit and fraud strategy development are highly valued. The ideal candidate will also possess a solid grasp of applicable regulations, the ability to develop quantitative analysis for business needs, and a proven track record of clear and effective communication at all levels of management. Hiring Manager Title SVP, Decision Science and Modeling Travel Percent Less than 10% Functions • General Management Confidential
This job posting was last updated on 10/21/2025