Fraud Risk Analyst: Data-Driven, Remote & Growth-Ready

Rain; New York (NY); Hybrid; USD 90,000 - 130,000; Full time

Benefits offered by this job

Unlimited time off

Flexible working

Health, dental and vision plans

401(k) with company match

Equity plan

Rain Cards

Wellness spending

Team summits

Job summary

Rain is shaping the next generation of payments globally. Its fraud risk management team protects customers by monitoring transactions, researching anomalies, and refining ML-driven rules to prevent abuse while keeping a smooth user experience.

You will be a primary contact for fraud escalations and leverage SQL/Excel to investigate, with close collaboration across Product, Engineering and Compliance to evolve detection and response.

Qualifications

• Proficiency in SQL, Excel and data visualization tools.
• 2+ years of experience in fraud prevention, payments risk, or financial crime investigation.
• Strong verbal and written communication skills.
• Background in identity risk, AML, payments fraud, or compliance analytics.
• The ability to investigate transactions and other user events and assess risk levels.

Responsibilities

• Serve as a primary point of contact for fraud-related escalations from partners and customers.
• Create ad hoc data pulls with SQL for anomaly investigation and analyze results.
• Document investigation findings, actions taken, and outcomes in internal systems.
• Work with Visa tools to investigate transactions and report fraud to Visa and partners.
• Recommend actions on cards, accounts and rule sets based on deep dives of fraudulent traffic.
• Stay current with industry fraud trends and technologies to identify evolving schemes.
• Partner with Product, Engineering, and Compliance to elevate findings and inform rule changes.

Skills

2+ years of fraud prevention

Strong verbal and written skills

Identity risk / AML / payments fraud

Ability to assess risk from anomalies

Tools

SQL

Excel

Data visualization tools

Python

Job description

Rain is shaping the next generation of payments globally. Its fraud risk management team protects customers by monitoring transactions, researching anomalies, and refining ML-driven rules to prevent abuse while keeping a smooth user experience.

You will be a primary contact for fraud escalations and leverage SQL/Excel to investigate, with close collaboration across Product, Engineering and Compliance to evolve detection and response.