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Closed on September 11, 2026.

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Rain

Data Scientist - Fraud Risk

Rain
New York, NY $50k - $1,000k/yr Full time Posted 1mo ago
Analytics Artificial Intelligence Business Analytics Data Data Analysis Data Analytics Data Processing Data Science Database Databases Digital Marketing Fraud Analytics Fraud Controls Fraud Detection Fraud Prevention Machine Learning Models Marketing Analytics Predictive Analytics Predictive Modeling Real Time Analytics Reporting and Analytics Risk Analytics Risk Modeling Risk Monitoring SQL Statistical Modeling
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Job Description

Rain is seeking a Data Scientist - Fraud Risk to help develop real-time fraud monitoring and risk controls powered by predictive machine learning. This role focuses on fraud risk metrics, operational dashboards, and model-driven safeguards while maintaining a balance between loss savings and customer experience.

Key Responsibilities

  • Own fraud risk metrics, dashboards, and reports used to guide business strategy and decisions
  • Design and implement real-time monitoring for fraud signals, including alerting thresholds
  • Design, simulate, and implement real-time risk controls using both real-time and offline predictive ML models
  • Optimize risk controls with an emphasis on loss savings, reduced user friction, and margin improvement
  • Partner with go-to-market teams to communicate the technical and business value of risk controls to customers
  • Summarize complex analytical outcomes for leadership and non-technical stakeholders
  • Support partners when they have fraud concerns related to their traffic

Required Qualifications

  • Advanced proficiency in SQL and Python
  • 3+ years of hands-on experience building automated fraud risk strategies and running experimentation (A/B tests), including implementation of real-time and offline predictive ML models
  • Ability to design, build, and maintain dashboards and fraud risk metrics
  • Capability to operate in ambiguous problem spaces and identify workable solutions
  • High autonomy, including effective prioritization of workload
  • Relevant quantitative bachelor’s degree or higher (Statistics, Mathematics, Engineering, Computer Science, etc.)

Technologies

  • SQL
  • Python
  • A/B tests
  • Machine learning
  • Predictive ML models

Location and Experience

Location: New York, NY (onsite)

Experience: Minimum 3 years

Salary

USD 50,000 - 999,999 per year

Education

Quantitative bachelor’s degree (or higher) such as Statistics, Mathematics, Engineering, Computer Science, or related fields.

Benefits

  • Unlimited time off (required to take at least 10 days off)
  • Flexible working: work from home or office
  • Home environment stipend for New Rainmakers
  • Comprehensive health, dental, and vision plans for US Rainmakers and dependents
  • 100% company subsidized life insurance
  • 401(k) with a 4% company match
  • Equity option plan
  • Rain Cards for testing core products and services
  • Health and Wellness spending using Rain Cards (gym memberships/fitness classes, massages, acupuncture, etc.)
  • Team summits including domestic and international team and company off-sites

Nice to Have

  • Experience at a high-growth fintech or financial services company
  • Exposure to customer-facing or GTM-facing analytics or fraud issue triaging
  • Background in identity risk, AML, payments fraud, or compliance analytics
  • Fluency in AI-assisted data analysis and data science tooling

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