Product & Risk Analytics Manager

Rain Technologies Inc.
United States
Remote

Who this role is best for

Strong fit for candidates with 5–7 years in data, product, and risk analytics who thrive in fast-paced startup environments and can translate complex insights into executive narratives.

Best fit for

  • Candidates with 5–7 years of experience in building credit/banking risk models and deploying them in production
    — “proven success building and deploying credit/banking risk models”
  • Individuals with hands-on experience in machine learning model lifecycle management and performance monitoring
    — “Monitor production ML models for drift, track feature importance”
  • Professionals adept at cross-functional leadership and translating data insights to business narratives
    — “translate complex insights into executive narratives”

Things to consider

  • The role may require in-office presence in Nashville despite remote flexibility
    — “option to work remotely or in-person in our downtown Nashville office”
  • The position demands a high level of technical proficiency in specific tools like Looker and Snowflake
    — “Expert SQL (Snowflake/complex queries), proficiency in Python ML libraries (Pandas, Scipy, XGBoost), and hands-on experience with BI tools (Looker, Superset)”

How to stand out

  • Emphasize your ability to build and scale analytics teams in your interview responses
    — “Proven track record of building, mentoring, or scaling high-performing analytics teams”
  • Showcase your ability to use A/B testing and campaign measurement to drive product and growth decisions
    — “Design and analyze A/B tests, measure marketing campaign effectiveness”
  • Demonstrate your experience in using Git for BI infrastructure and data modeling
    — “managing code and SQL via Git/GitHub using engineering best practices”
  • Position yourself as someone who can improve analytical rigor across teams and organizations
    — “Improve the overall analytical quotient of the team and organization as a whole”
Pace · Fast PacedCollaboration · HighAutonomy · MediumDecision Impact · Team

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • developed and deployed machine learning models
  • improved risk management strategies
Typical background
5-7 years in data analytics and risk management

Skills & requirements

Required

Risk ModelingMachine LearningSQLPythonBI ToolsA/B TestingData Governance

Preferred

Team Leadership

Stack & domain

SQLPythonPandasScipyXgboostLookerSupersetLeadershipCommunicationProblem-solvingTeamworkFinanceRisk ManagementUnderwritingMachine LearningData Analytics

About the role

Original posting from Rain Technologies Inc. via Ashby

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

$150,000 - $170,000

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 Careers@rain.us.

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.

Source: Rain Technologies Inc. careers (Ashby)

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