🛠 Tech Stack

💼 About This Role

You'll lead a team of analytics professionals designing fraud detection strategies for new account openings using predictive analytics and rules engines. Your work directly reduces fraud losses while enabling business growth. This role offers high autonomy and cross-functional impact.

🎯 What You'll Do

• Lead and develop analytics team focused on new account fraud prevention
• Design and implement fraud detection strategies using predictive analytics
• Analyze fraud trends to identify risks and opportunities
• Partner cross-functionally with fraud, risk, and business stakeholders

📋 Requirements

• Advanced degree in quantitative field (statistics, economics, engineering) or equivalent
• 5–10 years experience in analytics, fraud strategy, or risk management
• 2–4 years leadership or management experience
• Strong programming in SAS, R, or Python with statistical modeling

✨ Nice to Have

• Experience with SQL and large-scale data manipulation
• Background in econometric modeling for fraud use cases
• Strong stakeholder management skills

🎁 Benefits & Perks

• 💰 Competitive salary ($121,900–$262,100 annually)
• 🏥 Comprehensive healthcare (medical, dental, vision)
• 🏖️ Paid time off and holidays
• 📈 Retirement savings plan with employer support
• 🏡 Remote flexibility

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Screen· 30 min
2. 2Technical Interview· 60 min
3. 3Hiring Manager Interview· 45 min