Related skills
fintech machine learning kyc aml ato📋 Description
- Set and drive end-to-end fraud & risk strategy across credit, payments, and homeowner app.
- Own the fraud detection & risk scoring roadmap; partner with Eng & DS on models.
- Partner with Security to strengthen identity; shape KYC/KYB and device signals.
- Lead strategy to prevent fraud disputes and chargebacks via upstream controls.
- Analyze fraud patterns, model performance, losses, and false positives.
🎯 Requirements
- 10+ years in fraud, risk, identity, or trust product in fintech/payments.
- Proven success designing fraud/risk systems with DS/ML teams and shipping risk products.
- Deep understanding of fraud vectors: ATO, synthetic IDs, mule accounts, chargebacks.
- Experience with KYC/AML, sanctions, dispute regulations, compliance alignment.
- Strong analytical abilities; metrics, funnels, decision trees, model outputs.
- Leadership to lead teams, influence stakeholders, tradeoffs between risk and growth.
🎁 Benefits
- Hybrid work environment.
- Bonus and equity eligibility.
- Impactful fintech culture with growth opportunities.
- Support for GivePower initiatives and community impact.
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