Related skills
sql python machine learning fraud detection tools pyspark📋 Description
- Own the fraud strategy from prevention to response, aligned with goals and regs
- Design scalable policies, controls, and tooling across the customer lifecycle
- Partner with Engineering, Product, Data, and Operations to embed fraud thinking
- Build and mentor a high-performing fraud team of analysts and managers
- Drive key fraud metrics and reporting to leadership and external stakeholders
- Stay current on fraud trends and industry best practices
🎯 Requirements
- 8+ years in fraud, risk, trust & safety, or related fields
- Proven track record building and scaling fraud teams and systems
- Deep understanding of fraud vectors and related controls
- Experience cross-functional in product-driven orgs with complex systems
- Strong analytics with SQL, Python, PySpark for fraud analysis
- Excellent communication, leadership; familiar with fraud tools and ML models
🎁 Benefits
- Competitive compensation and equity packages
- Choice of high-quality work computers
- Flexible paid time off
- Fully covered healthcare, including dependent coverage
- 20 weeks parental leave for primary caregiver, 8 weeks for all new parents
- Access to industry-leading technology to boost productivity
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