VP Modeling Data Science

About the role

Happen Bank’s Decision Science group is seeking an innovative quantitative data science leader as its VP, Modeling & Data Science. This role shapes modeling strategies across personal loans, auto, purchase finance, and deposits, and sets a strategic vision for modeling excellence. The work includes integrating machine learning, AI capabilities, and advanced data sources into credit, fraud, and marketing ecosystems.

Happen Bank is built around helping people turn intention into action and action into financial progress. The bank offers focused products, a mobile-first experience, and clear terms. Respect and fairness shape how the company works, treats employees, and invests in its employees and community.

Responsibilities

• Set enterprise modeling strategy across credit underwriting, fraud detection, marketing targeting, pricing, and operational decisioning.
• Champion AI and machine learning innovation and oversee deployment of advanced statistical and machine learning models across Happen Bank’s ecosystem.
• Drive development, enhancement, and governance of a comprehensive suite of models.
• Lead a high-performing team of modelers and partner cross-functionally to build an agile, future-ready modeling infrastructure.

Requirements

• Extensive experience in the consumer lending or Fintech industry.
• Passion for using advanced analytics and machine learning to solve complex business problems.

How to apply

Apply directly on CazVid.

Key facts

• The role covers modeling strategies across personal loans, auto, purchase finance, and deposits.
• The position requires extensive experience in consumer lending or Fintech.
• Apply directly on CazVid.