Data Scientist - Fraud Risk
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
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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