Data Scientist - Fraud Risk (Crypto)

Data Scientist - Fraud Risk

Company

Rain

Conditions

1 day agoSeniorSalary: 50K - 1MNew York, USA Hybrid Full Time Data Science Jobs by Rain

Rain Rain helps users buy, sell, and swap cryptocurrencies with regulated custody, bank-grade security, and 24/7 support across web and mobile. Series C Company intelligence United Arab Emirates Funding history Series C ($250M) Series C ($250M) Series B ($58M) Investors Hard Yaka Lightspeed Faction Galaxy Digital Norwest Ventrure Partners Lattitude Capital Projects Rain Cards Payments Infrastructure & Orchestration Rain Spend Card issuance Rain Centralised Exchange Rain OTC Desk OTC About Rain Rain is a centralized crypto platform for retail and business users to buy, sell, and swap digital assets. The platform is licensed by the Central Bank of Bahrain and ADGM’s FSRA, offers cold storage custody, and provides bilingual 24/7 human support. Users can manage portfolios, use advanced trading with charts and order types, and access an OTC desk for large orders. The service includes clear fees, verification, and mobile apps. View jobs by Rain

Skills

A/B Testing Aml Dashboard Data Analysis Fraud Prevention Machine Learning Payment Python Risk Management Sql

Candidate Availability

Hybrid · New York · Required Hybrid · New York, NY · Required Remote · Required Required and preferred rules are kept separate and reflect the wording in the original posting.

About the Role

You will own fraud-risk metrics, dashboards, and reports that support decision-making. You will design real-time monitoring, alerting, predictive models, and risk controls while balancing loss prevention, customer experience, and margins. You will communicate analytical findings and support partners with fraud concerns.

Requirements

• Advanced proficiency in SQL and Python
• 3+ years of hands-on experience with automated fraud-risk strategies, experimentation, and predictive ML models
• Experience designing, building, and maintaining dashboards and fraud-risk metrics
• Quantitative bachelor's degree or higher

Responsibilities

• Own 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 predictive ML models
• Balance risk controls with customer experience, loss savings, and margin improvement
• Partner with go-to-market teams to demonstrate the value of risk controls
• Summarize analytical results for leadership and non-technical stakeholders
• Assist partners with fraud concerns

Benefits

• Unlimited time off with a 10-day minimum
• Flexible work arrangement
• Home-office stipend
• Health, dental, vision, and company-subsidized life insurance for US employees
• 401(k) with 4% company match
• Equity option plan
• Card for product testing
• Health and wellness spending
• Domestic and international team and company off-sites

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