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sql python machine learning fraud p2p📋 Description
- Monitor high-risk P2P transfers and cash advance requests daily.
- Investigate suspicious accounts; freeze or decline transactions.
- Analyze fraud trends; test new rules and ML features.
- Mitigate social‑engineering scams and account takeover.
- Create dashboards to track fraud metrics and SLAs.
🎯 Requirements
- 2-4 years in fraud investigations or risk management (fintech/payments).
- Strong knowledge of P2P networks (Zelle, Venmo, CashApp, ACH).
- Proficient in SQL and Python for data analysis.
- Ability to explain complex fraud patterns to non-technical stakeholders.
- Vendor experience with fraud tools and identity verification.
🎁 Benefits
- Unlimited PTO and volunteer hours.
- Life, STD/LTD, medical, dental and vision insurance.
- Discounted Lifetime gym membership.
- 401k with match.
- Collaborative, motivated coworkers.
- Opportunity to join the fastest growing FinTech.
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