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P2P

Fraud Risk ML Engineer — Real-Time, Hybrid

P2P, New York, New York, us, 10261

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A leading fintech company in New York is looking for a machine learning engineer to architect and build scalable systems for fraud detection. The role requires 5+ years of experience in ML and familiarity with anomaly detection. Ideal candidates will have a degree in a relevant field and be proficient in Python and ML frameworks. The company offers flexible working arrangements and a compensation range of $187K to $258.7K, alongside various benefits including equity options and unlimited time off. #J-18808-Ljbffr