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machine learning kyc aml ato synthetic-identities📋 Description
- Set and drive end-to-end fraud and risk strategy across credit, payments, and homeowner app.
- Own the roadmap for fraud detection and risk scoring with Engineering and Data Science.
- Partner with Security to strengthen identity, device signals, and KYC/KYB.
- Lead strategies to prevent fraud-driven disputes and chargebacks; improve decisioning.
- Analyze fraud patterns, model performance, losses, and false positives.
- Manage vendor relationships and evaluate new technologies to strengthen defenses.
🎯 Requirements
- 10+ years in fraud, risk, identity, or trust & safety product experience in fintech.
- Proven success designing fraud/risk systems and shipping risk products at scale.
- Deep understanding of fraud vectors: ATO, synthetic identities, mule accounts, and abuse.
- Experience with KYC/AML, sanctions, adverse media, and dispute regulations.
- Strong analytical skills: metrics, funnels, decision trees, model outputs.
- Ability to lead teams, influence senior stakeholders, and make crisp tradeoffs.
🎁 Benefits
- Bonus eligibility and equity in addition to base compensation.
- Hybrid work arrangement with strong cross-functional collaboration.
- Impactful work supporting sustainable solutions and GivePower.
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