Data Scientist - Fraud Risk
Rain(25 days ago)
About this role
A Data Scientist - Fraud Risk at Rain is responsible for developing and implementing sophisticated fraud risk mitigation strategies using real-time monitoring systems and machine learning models. The role includes owning metrics and dashboards to inform business decisions, balancing risk controls with customer experience, and collaborating with go-to-market teams to demonstrate the value of risk controls. The candidate must possess advanced SQL and Python skills, along with at least 3 years of hands-on experience in automated fraud risk strategies.
Required Skills
- Fraud Risk Management
- Metrics Ownership
- Dashboard Design
- Real-Time Monitoring
- Fraud Detection
- Risk Control Implementation
- Customer Experience Focus
- Cross-Functional Collaboration
- Analytical Summarization
- SQL Proficiency
+8 more
Qualifications
- Relevant quantitative bachelor’s (or higher) degree (Statistics, Mathematics, Engineering, Computer Science, etc.)
About Rain
www.rain.xyzRain is a financial technology company that specializes in stablecoin-powered cards and payments infrastructure. Their platform offers a comprehensive suite of APIs that empower businesses to issue stablecoin-backed cards, facilitate global transactions, and provide digital wallet solutions with speed and compliance. With a focus on creating modern financial experiences, Rain serves fintech companies, neobanks, and developers, enabling them to integrate seamless payment solutions across more than 150 countries. Founded in 2021, Rain is committed to transforming the financial landscape through innovative technology and robust support for its partners.