Data Scientist - Fraud Risk

Summary

Rain is a company that makes the next generation of payments possible across the globe, and they are seeking a Data Scientist to join their fraud risk management team. The role involves creating risk mitigation solutions, designing monitoring systems, and implementing predictive models to enhance customer experience while managing fraud risks.

Responsibilities

• 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

Skills

• 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.)
• 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

Qualifications

Must Haves

• 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 Haves

• 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

Benefits

• 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.
• New Rainmakers will receive a stipend to create a comfortable home environment.
• 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.
• We offer a 401(k) with a 4% company match.
• We offer every Rainmaker an equity option plan so we can all benefit from our success.
• Rain Cards 🌧️ We issue a card for our team to use for testing.
• Rainmakers are welcome to use their card for eligible health and wellness spending like gym memberships/fitness classes, massages, acupuncture - whatever recharges you!
• Expect team and company off-sites both domestically and internationally.