Product & Risk Analytics Manager

The role

You will analyze product, user, transactional, and repayment data to uncover insights for strategy and product development. You will design and refine machine learning risk models and build BI infrastructure to optimize growth and minimize loss rates.

What you will do

• Analyze product, user, and repayment data to design, deploy, and refine machine learning risk/underwriting models
• Monitor production ML models for drift and track feature importance
• Maintain data governance to ensure long-term risk strategy stability
• Build and scale Looker dashboards and LookML data models
• Manage code and SQL via Git/GitHub using engineering best practices
• Perform deep dives into user behavior, acquisition funnels, and customer segmentation
• Design and analyze A/B tests
• Measure marketing campaign effectiveness, model CAC and LTV, and track company-wide KPIs
• Partner with Engineering, Product, and Finance to translate insights into executive narratives
• Improve the overall analytical quotient of the team and organization

Required qualifications

• 5–7 years in data, product, and risk analytics
• Proven success building and deploying credit/banking risk models
• Expert SQL (Snowflake/complex queries)
• Proficiency in Python ML libraries (Pandas, Scipy, XGBoost)
• Hands-on experience with BI tools (Looker, Superset)
• Deep understanding of statistical principles, hypothesis testing, and hands-on A/B experimentation
• Thrives as an individual contributor in fast-paced, ambiguous startup environments
• Leveraging AI tools to scale output quality and efficiency

Nice to have

• Proven track record of building, mentoring, or scaling high-performing analytics teams

Benefits

• Flexible PTO
• Medical, Dental, Vision, Life, Disability coverage
• Parental leave
• Monthly stipend
• Equity options

About the company

Rain is the world's first AI Financial Health Platform, serving 3.5 million employees at leading organizations. It is backed by investors including QED and Prosus.