Fraud Risk Data Scientist — Real-Time ML & Dashboards

raincards.xyz; New York (NY); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Unlimited time off

Flexible working

Health + dental + vision

401(k) match

Equity plan

Rain Cards

Wellness spending

Team summits

Job summary

Rain is seeking a fraud risk professional to own metrics, dashboards, and real-time monitoring for fraud signals, while designing predictive models that balance risk controls with customer experience. You’ll translate complex analytics for leadership and partners, contributing to a high-growth fintech environment.

Join a team that builds scalable risk management solutions, with autonomy, a quantitative degree, and a track record of delivering loss reductions and improved user experience.

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 (or higher) 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

Dashboards

Ambiguity tolerance

Autonomy

Time management

Education

Quantitative degree (Statistics/Math/Engineering/CS)

Job description

Rain is seeking a fraud risk professional to own metrics, dashboards, and real-time monitoring for fraud signals, while designing predictive models that balance risk controls with customer experience. You’ll translate complex analytics for leadership and partners, contributing to a high-growth fintech environment.

Join a team that builds scalable risk management solutions, with autonomy, a quantitative degree, and a track record of delivering loss reductions and improved user experience.