Data Scientist, Risk

• Own optimization of the credit decisioning process across multiple acquisition channels
• Develop and refine underwriting, targeting, and segmentation models
• Design and implement A/B tests to evaluate credit policies with structured reporting
• Construct models linking application volume to financial outcomes like approval rates and expected losses
• Create AI-powered workflows that autonomously monitor and diagnose performance anomalies
• Collaborate with cross-functional teams to develop new targeting criteria and risk frameworks
• Build frameworks to identify and expand credit access to underserved populations

• 5-8 years of experience in data science or risk analytics, preferably in a fintech or startup environment
• Strong skills in Python and SQL for model creation and data transformation
• Experience in building credit risk or predictive models in a regulated setting
• Deep understanding of statistical methods, experimentation design, and causal analysis
• Comfortable using AI tools to boost analytical workflows and outcomes
• Proficient in presenting complex analyses to diverse audiences, including leadership
• Ability to independently manage projects in a rapidly evolving startup context

• Competitive compensation and equity offerings
• Choice of leading configured work computers
• Flexible paid time off policy
• Comprehensive healthcare coverage, including dependent coverage
• Access to additional health services like One Medical and FSA options
• Generous parental leave policy of 20 weeks for primary caregivers, and 8 weeks for all new parents
• Commitment to investing in innovative technology and resources for team productivity

Our client is an equal opportunity employer. We encourage you to apply even if you don’t meet every qualification-your background could be exactly what this team needs.