VP, Modeling & Data Science
Core
Setting enterprise modeling strategy and leading a team of modelers to integrate AI/ML into credit, fraud, and marketing ecosystems for a consumer bank.
Role type
VP, Modeling & Data Science (Strategy & Leadership)
Builds
Enterprise ML platforms, predictive models for underwriting/fraud/marketing, and scalable experimentation infrastructure.
Domain
Consumer Fintech / Banking
Deliverable
production ML models | infrastructure
Required skills
Strategic vision for ML/AI, team leadership (10+ years), predictive modeling (logistic regression, GBM, Neural Networks), ML platform scaling, regulatory compliance, cross-functional partnership
Preferred skills
Consumer lending domain expertise, credit/fraud function development, model governance
Technologies
TensorFlow, PyTorch, NumPy, Scikit-Learn, Pandas
Responsibilities
Set enterprise modeling strategy across credit, fraud, and marketing; lead a team of 6–10 modelers; partner with Technology to evolve ML platforms; communicate technical topics to senior leadership and regulators; ensure model governance and regulatory alignment
Seniority
VP, strategic leadership with hands-on technical depth
