
Data Scientist - Fraud
- Draper, UT
- Permanent
- Full-time
- Uncover hidden fraud patterns
- Monitor the health of the portfolio
- Design proactive solutions to close fraud gaps
- Share insights with leadership to drive business decisions.
- Build analyses and models that will have a direct and immediate impact on the security of our platform and the trust of our customers and retail partners
- Degree in Data Science, Mathematics, Computer Science, Statistics, or a related field
- Python (3+ years' experience); Numpy, Pandas, ScikitLearn, XGBoost
- SQL (2+ years' experience)
- Knowledge of common fraud typologies (card fraud, identity theft, etc.), fraud attack vectors and system vulnerabilities.
- Understanding of the chargeback dispute/management process.
- Feature engineering for fraud detection: Ability to design meaningful fraud-specific features (e.g., velocity checks, behavioral profiles, device/IP link analysis).
- Experience with hybrid rule and machine-learning based fraud prevention platforms (e.g. Kount, CyberSource Decision Manager, Signifyd) a plus.
- Ability to balance customer friction, fraud loss and portfolio performance.
- Ability to work independently and to take responsibility.
- Full health benefits-Medical/Dental/Vision
- 401(k) match, 6%/3%
- DTO (discretionary time off)
- Health savings account (HSA) with company contribution
- College tuition reimbursement program (STEAM degrees)
- Unlimited use of Linkedin Learning
- Free car charging
- Onsite gym and showers Upbound is an equal opportunity employer committed to ensuring that all employment decisions are made on a non-discriminatory basis, and without regard to actual or perceived race.