Related skills
sql python excel device_fingerprint consortium_data📋 Description
- Analyze application and early data to ID fraud patterns (synthetic identity, first-party)
- Develop and implement fraud detection rules, thresholds, and decision logic
- Monitor early performance to identify fraud-driven losses
- Distinguish fraud risk vs credit risk to improve approvals
- Evaluate third-party fraud tools and data sources
- Design tests and experiments to improve detection performance
🎯 Requirements
- Degree in Data Science, Applied Math, Stats, Economics, CS or related field
- 4–6 years in fraud, risk, or analytics, fintech/financial services
- Strong analytical skills with SQL, Python, Excel
- Understanding of fraud types and tools (ID verification, device fingerprinting)
- Ability to translate analysis into rules and actions; exposure to testing
- Preferred: subprime fintech or AI in fraud management
🎁 Benefits
- Comprehensive healthcare including medical, dental, and vision coverage
- Generous PTO, sick time, and 13 company holidays
- 401(k) with company contribution
- Participation in annual discretionary bonus plan
- Regular team and company gatherings
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