[Hiring] Product & Risk Analytics Manager @Rain Technologies Inc.

Role Description

We are seeking a highly analytical and motivated Product & Risk Analytics Manager to join our Business Operations & Analytics team. This isn't just a reporting role; you will be the subject matter expert and storyteller of our data.

• Dive deep into product, user, transactional, and repayment data to uncover critical insights that will shape our strategy, guide product development, and optimize growth.
• Develop strategies that minimize risk and loss rates using experience in risk, underwriting, and user behavior.
• Work cross-functionally with product, engineering, marketing, and leadership to answer pressing questions and turn complex data into actionable recommendations.
• Report to the Head of Business Operations & Analytics with the option to work remotely or in-person in downtown Nashville.

Qualifications

• 5–7 years in data, product, and risk analytics, with proven success building and deploying credit/banking risk models.
• Expert SQL (Snowflake/complex queries), proficiency in Python ML libraries (Pandas, Scipy, XGBoost), and 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.
• Capable of delivering immediate IC impact while scaling with the business to build and lead a team.

Requirements

• Analyze product, user, and repayment data to design, deploy, and refine machine learning risk/underwriting models—focusing on loss mitigation, ACH failure reduction, and fraud prevention.
• Monitor production ML models for drift, track feature importance, and maintain data governance to ensure long-term risk strategy stability.
• Build and scale Looker dashboards and LookML data models, managing code and SQL via Git/GitHub using engineering best practices (branching, PRs).
• Perform deep dives into user behavior, acquisition funnels, and customer segmentation to drive product strategy, user engagement, and retention.
• 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 ensure data accuracy, translate complex insights into executive narratives, and elevate the organization's overall data fluency.
• Improve the overall analytical quotient of the team and organization as a whole.

Benefits

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

Compensation

$130,000 - $150,000. Note this is a range and we take in a variety of factors when determining total compensation for the position.

Diversity, Equity and Inclusion Commitments

As part of our dedication to the diversity of our workforce, Rain is committed to Equal Employment Opportunity and does not discriminate based on race, religion, color, national origin, ethnicity, gender, sex (including pregnancy), protected veteran status, age, disability, sexual orientation, gender identity, gender expression, or any unlawful criterion existing under applicable federal, state, or local laws. If you need assistance or accommodation due to a disability, you may contact us at [email protected].

What’s Next

Ensuring a smooth and enjoyable candidate experience is critical for us. Our interview process tends to take about 4 weeks to complete, but may fluctuate depending on the role. Learn more about our hiring process here. Don’t be afraid to let us know if you need more flexibility.