Job Description
📋 Description Turn product, customer, and risk data into insights and decision frameworks. Own end-to-end analysis, metrics, experiments, forecasting, and visualization. Define measurement frameworks for eligibility, repayment, usage, and losses. Partner with ML Engineers to evaluate models and connect risk to impact. Design experiments, rollouts, and policy changes for growth. Communicate insights to technical, product, and business stakeholders. 🎯 Requirements 4+ years of AI/ML or statistics in decisioning (credit, risk, etc). Master’s degree in a quantitative field; PhD welcomed. Advanced proficiency with SQL and Python; build clear visualizations. Strong product, analytical, and statistical judgment to support decisions. Experience using AI tools to speed and improve analysis. 🎁 Benefits Equal opportunity employer; inclusive workplace.
