Rain is the world's first AI Financial Health Platform, serving 3.5 million employees at leading organizations like McDonald's, Marriott, and T-Mobile. Rain works in the background to optimize every employee's financial life to prevent shortfalls and build long-term stability. Backed by top investors including QED and Prosus, Rain has raised $150M in venture funding to fuel our next stage of hyper growth.
About the Business Operations & Analytics Team
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.
You will dive deep into our product, user, and transactional data, and repayment data to uncover critical insights that will shape our strategy, guide product development, and optimize our growth engine.
You will use your experience in risk, underwriting, and user behavior to develop strategies that minimize our risk and loss rates.
You will work cross-functionally with product, engineering, marketing, and leadership to answer our most pressing questions and turn complex data into actionable recommendations.
You will be reporting to the Head of Business Operations & Analytics with the option to work remotely or in-person in our downtown Nashville office.
What You’ll Do
Risk & ML Modeling: 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
Model Lifecycle & Performance Monitoring: Monitor production ML models for drift, track feature importance, and maintain data governance to ensure long-term risk strategy stability
BI Infrastructure & Version Control: Build and scale Looker dashboards and LookML data models, managing code and SQL via Git/GitHub using engineering best practices (branching, PRs)
Product & User Analytics: Perform deep dives into user behavior, acquisition funnels, and customer segmentation to drive product strategy, user engagement, and retention
Experimentation & Growth: Design and analyze A/B tests, measure marketing campaign effectiveness, model CAC and LTV, and track company-wide KPIs
Cross-Functional Leadership: 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
Who You Are
Experience & Domain: 5–7 years in data, product, and risk analytics, with proven success building and deploying credit/banking risk models
Technical Stack: Expert SQL (Snowflake/complex queries), proficiency in Python ML libraries (Pandas, Scipy, XGBoost), and hands-on experience with BI tools (Looker, Superset)
Analytics & Testing: Deep understanding of statistical principles, hypothesis testing, and hands-on A/B experimentation
Execution & AI: Thrives as an individual contributor in fast-paced, ambiguous startup environments, leveraging AI tools to scale output quality and efficiency
Growth Potential: Capable of delivering immediate IC impact while scaling with the business to build and lead a team
Preferred Qualifications
Proven track record of building, mentoring, or scaling high-performing analytics teams
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.
How we care for our team
Along with competitive salaries, Rain offers great benefits including:
Flexible PTO
Medical, Dental, Vision, Life, Disability coverage
Parental leave
Monthly stipend
Equity options
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.
Skills Required
- 5-7 years of experience in data, product, and risk analytics
- Proven success building and deploying credit or banking risk models
- Expert SQL, including Snowflake and complex queries
- Proficiency with Python machine learning libraries, including Pandas, SciPy, and XGBoost
- Hands-on experience with BI tools such as Looker and Superset
- Deep understanding of statistical principles and hypothesis testing
- Hands-on A/B experimentation experience
- Ability to work as an individual contributor in a fast-paced, ambiguous startup environment
- Ability to use AI tools to scale output quality and efficiency
- Track record of building, mentoring, or scaling high-performing analytics teams
What We Do
Rain Technologies Inc. provides an AI-driven financial health platform for employers and employees, offering earned-wage access, budgeting tools, financial coaching, and balance-protection features. The platform integrates with payroll systems, emphasizes enterprise security and minimal data collection, and aims to reduce employee financial stress, improve retention, and increase productivity across industries such as retail, hospitality, and healthcare.
