Data Scientist - Fraud Risk

P2P; New York (NY); On-site; USD 120,000 - 190,000; Full time

Benefits offered by this job

Unlimited time off

Flexible working

Health, dental, vision plans

401(k) with company match

Equity options

Rain Card

Job summary

Rain’s fraud risk team seeks a data-driven analyst to own dashboards, metrics, and real-time monitoring for fraud signals. You will design and implement both real-time and offline predictive ML models to balance security with seamless customer experiences.

You’ll partner with GTM teams and translate complex analytics for leadership, while prioritizing workload and navigating ambiguous problems in a high-growth fintech environment. A Bachelor's degree in a quantitative field is required.

Qualifications

• Advanced proficiency in SQL and Python with 3+ years applying fraud risk strategies.
• Experience designing and maintaining dashboards and fraud metrics.
• Experience with real-time and offline ML models for risk control.

Responsibilities

• Own metrics, dashboards, and reports informing strategy and decisions.
• Design real-time monitoring for fraud signals and thresholds.
• Build and validate real-time risk controls using ML models.
• Balance risk controls with user experience to improve margin and reduce loss.

Skills

SQL

Python

Fraud analytics

Dashboards

ML models

A/B testing

Ambiguity handling

Prioritization

Education

Bachelor's degree (Statistics/Math/CS)

Job description

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.

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.

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.

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 goals Plan 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.