Rain Technologies Inc.
Fintech & PaymentsDirect Ashby career site

Product & Risk Analytics Manager

Pay
$150,000 – $170,000 per year
Location
Remote (US)
Job type
Full-time
Level
Lead / Staff
Experience
5+ years
Listed
23 days ago

Skills & highlights for this role

  • SQL
  • Python
  • Looker
  • A/B testing
  • machine learning risk models

Also useful

  • Snowflake
  • XGBoost
  • Git

Stated benefits & perks

  • Health
  • Dental
  • Vision
  • Parental leave
  • Flexible pto

About the role

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.

Benefits

Along with competitive salaries, Rain offers great benefits including:

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

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.
Read the original posting

From Rain Technologies Inc.'s careers page, first listed on Rolev.ai on October 17, 2026. Rolev.ai is not the employer.

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Common questions

What is the salary for the Product & Risk Analytics Manager role at Rain Technologies Inc.?

The Product & Risk Analytics Manager posting at Rain Technologies Inc. states compensation of $150,000 – $170,000 per year. It is listed as a full-time position. Final pay may depend on location, experience, and interview evaluation on Rain Technologies Inc.'s official career site.

Where is the Product & Risk Analytics Manager job at Rain Technologies Inc. located?

Yes, this Product & Risk Analytics Manager opening at Rain Technologies Inc. is listed as Remote (US). Always check Rain Technologies Inc.'s application page for specific state eligibility or relocation policies.

What qualifications are required for Product & Risk Analytics Manager at Rain Technologies Inc.?

For the Product & Risk Analytics Manager role, Rain Technologies Inc. highlights 5+ years of relevant experience; experience with SQL, Python, Looker, A/B testing, machine learning risk models. Rolev.ai can score your existing resume against these requirements and show any skill gaps before you apply.

How do I apply for the Product & Risk Analytics Manager position at Rain Technologies Inc.?

This listing links directly to Rain Technologies Inc.'s Ashby application page. You can apply directly on Rain Technologies Inc.'s site, or use Rolev.ai to check your resume fit, generate a zero-hallucination tailored resume and cover letter for this posting, and autofill the Ashby application form in 1 click with the Rolev.ai Chrome extension. You always review the form and press Submit yourself.