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12 hours ago
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Full time
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data sql python pandas banking📋 Description
- Design, build, and monitor fraud defenses across banking and credit products.
- Use data to identify emerging fraud risks and translate insights into actions.
- Partner with product, operations, and engineering to implement solutions.
- Analyze data to independently solve complex, ambiguous fraud problems.
- Own the development and monitoring of fraud defenses with feedback loops.
- Balance risk reduction with a positive customer experience in fraud strategies.
🎯 Requirements
- Strong quantitative and analytical skills using data to inform decisions.
- 5-7 years building/leading credit or banking strategies with measurable results.
- SQL and Python or R (Pandas, scikit-learn) experience.
- Banking or payments fraud experience is a plus.
- Clear written and verbal communication; simplify complex analyses.
- Bachelor’s or Master’s degree in CS/Engineering/IS/Analytics/Math/Physics.
🎁 Benefits
- Challenging, high-impact work to grow your career.
- Performance-based pay with bonuses, equity, and 401(k) matching.
- 100% paid health insurance for employees; dependents 90% covered.
- Lifestyle wallet for wellness and learning benefits.
- Employer-paid life and disability insurance, fertility, mental health.
- Generous time off: holidays, PTO, sick time, parental leave.
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