Fraud Risk Scientist - Real-Time ML & Impact (Remote)

raincards.xyz; New York (NY); Remote; USD 190,000 - 230,000; Full time

Benefits offered by this job

Unlimited vacation

Flexible working

Health and dental plans

401(k) with company match

Equity option

Stipend for home office

Team summits

Job summary

Rain is seeking a Data Scientist - Fraud Risk in New York, NY with remote options for a full-time role. You’ll own fraud risk metrics, design real-time monitoring, and develop predictive ML models to balance risk with customer experience.

Collaboration with GTM teams and leadership is essential as you translate complex analytics for non-technical stakeholders. The team focuses on scalable risk controls, dashboards, and actionable alerts to protect customers across the payments ecosystem.

Qualifications

• 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 degree (Statistics, Mathematics, Engineering, Computer Science, etc.)

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

SQL

Python

Fraud risk

Dashboarding

Real-time monitoring

Education

Bachelor’s degree in Statistics, Mathematics, Engineering, Computer Science, etc.

Job description

Rain is seeking a Data Scientist - Fraud Risk in New York, NY with remote options for a full-time role. You’ll own fraud risk metrics, design real-time monitoring, and develop predictive ML models to balance risk with customer experience.

Collaboration with GTM teams and leadership is essential as you translate complex analytics for non-technical stakeholders. The team focuses on scalable risk controls, dashboards, and actionable alerts to protect customers across the payments ecosystem.