Rain
Fintech & PaymentsDirect Ashby career site

Data Scientist - Fraud Risk

Location
New York, NY (Remote)
Job type
Full-time
Level
Mid-level
Experience
3+ years
Education
Bachelor's degree
Listed
30 days ago

Skills & highlights for this role

  • SQL
  • Python
  • A/B testing
  • predictive ML models
  • fraud risk strategies

Also useful

  • AML
  • payments fraud
  • identity risk
  • AI-assisted data analysis

Stated benefits & perks

  • Health
  • Dental
  • Vision
  • 401k match
  • Unlimited pto

Our Ethos

We believe in an open and flat structure. You will be able to grow into the role that most aligns with your goals. Our team members at all levels have the freedom to explore ideas and impact the roadmap and vision of our company.

What You’ll Do

  • Own the metrics, dashboards, and reports that inform business strategy and decision-making
  • Design and implement real-time monitoring systems for fraud signals and alerting thresholds
  • Design, simulate, and implement real-time risk controls using real-time and offline predictive ML models
  • Balance risk controls with customer experience by focusing on loss savings, reduced user friction, and margin improvement
  • Partner with go-to-market teams to demonstrate the technical and business value of risk controls to customers
  • Effectively summarize complex analytical results to leadership and non-technical stakeholders
  • Assist partners when they have fraud concerns with their traffic

What We're Looking for

  • Advanced proficiency in SQL and Python
  • 3+ years hands-on experience working on automated fraud risk strategies and experimentation (A/B tests), including implementation of real-time and offline predictive ML models
  • Skilled in designing, building, and maintaining dashboards and fraud risk metrics
  • The ability to manage ambiguous problems and find solutions
  • High autonomy, including the ability to prioritize your workload effectively
  • Relevant quantitative bachelor’s (or higher) degree (Statistics, Mathematics, Engineering, Computer Science, etc.)

Nice to Have, but Not Mandatory

  • Experience at a high-growth fintech company or financial services company
  • Exposure to customer-facing or GTM-facing analytics or fraud issue triaging
  • Background in identity risk, AML, payments fraud, or compliance analytics
  • Fluency in AI-assisted data analysis / data science tooling

Things That Enable a Fulfilling, Healthy, and Happy Experience at Rain

  • Unlimited time off Unlimited vacation can be daunting, so we require Rainmakers to take at least 10 days off.
  • Flexible working We support a flexible workplace. If you feel comfortable at home, please work from home. If you’d like to work with others in an office, feel free to come in. We want everyone to be able to work in the environment in which they are their most confident and productive selves. New Rainmakers will receive a stipend to create a comfortable home environment.
  • Easy to access benefits For US Rainmakers, we offer comprehensive health, dental and vision plans for you and your dependents, as well as a 100% company subsidized life insurance plan.
  • Retirement goalsPlan for the future with confidence. We offer a 401(k) with a 4% company match.
  • Equity plan We offer every Rainmaker an equity option plan so we can all benefit from our success.
  • Rain Cards We want Rainmakers to be knowledgeable about our core products and services. To support this mission, we issue a card for our team to use for testing.
  • Health and Wellness High performance begins from within. Rainmakers are welcome to use their card for eligible health and wellness spending like gym memberships/fitness classes, massages, acupuncture - whatever recharges you!
  • Team summits Summits play an important role at Rain! Time spent together helps us get to know each other, strengthen our relationships, and build a common destiny. Expect team and company off-sites both domestically and internationally.

About the Company

Rain makes the next generation of payments possible across the globe. We’re a lean and mighty team of passionate builders and veteran founders. Our infrastructure makes stablecoins usable in the real-world by powering card transactions, cross-border payments, B2B purchases, remittances, and more. We partner with fintechs, neobanks, and institutions to help them launch solutions that are global, inclusive, and efficient.

You will have the opportunity to deliver massive impact at a hypergrowth company that is funded by some of the top investors in fintech, crypto, and SaaS, including Sapphire Ventures, Norwest, Galaxy Ventures, Lightspeed, Khosla, and several more. If you’re curious, bold, and excited to help shape a borderless financial future, we’d love to talk.

About the Team

The fraud risk management team at Rain creates sophisticated, scalable risk mitigation solutions to protect our customers and provide them a low-friction experience. We achieve this by maintaining transaction and lifecycle event monitoring, building alerts to speed up fraud detection and response, and creating risk rules and strategies empowered with ML models.

We are a pillar of the business supporting new products and ensuring their success. Rain’s next generation payment technology brings unique and new fraud vectors requiring holistic, end-to-end thinking, strong data fundamentals and fraud management savvy to combat.

Read the original posting

From Rain's careers page, first listed on Rolev.ai on October 10, 2026. Rolev.ai is not the employer.

How Rolev.ai helps with this application

Rolev.ai is a job search and application tool for US job seekers. For this Data Scientist - Fraud Risk role at Rain, it shows how your resume fits, tailors your resume to the posting, and prepares the application for you to review.

  • See how you fit

    Openings from employer career sites are ranked against your whole resume—and searchable inside Claude, ChatGPT, and Cursor via Rolev.ai MCP.

  • Tailor without inventing

    Every change to your resume is checked against your original. New experience goes in only with your yes—zero fabricated claims.

  • Draft the full kit

    Tailored and Full Match resumes, role-specific cover letters, and answers to employer screening questions are prepared in seconds.

  • 1-Click Extension Autofill

    The Chrome extension fills the employer's Greenhouse, Workday, Lever, or Ashby form in 1 click. You review it and press Submit.

Common questions

Where is the Data Scientist - Fraud Risk job at Rain located?

Yes, this Data Scientist - Fraud Risk opening at Rain is listed as New York, NY (Remote). Always check Rain's application page for specific state eligibility or relocation policies.

What qualifications are required for Data Scientist - Fraud Risk at Rain?

For the Data Scientist - Fraud Risk role, Rain highlights 3+ years of relevant experience; a bachelor's degree; experience with SQL, Python, A/B testing, predictive ML models, fraud risk strategies. Rolev.ai can score your existing resume against these requirements and show any skill gaps before you apply.

How do I apply for the Data Scientist - Fraud Risk position at Rain?

This listing links directly to Rain's Ashby application page. You can apply directly on Rain'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.