Machine Learning Engineer Fraud | Fintech

• Location: Chicago, IL (Onsite/Hybrid)
• Compensation: $225K-$275K Base + Bonus & Equity
• Industry: MUST HAVE Fintech | Payments Infrastructure | Fraud Prevention

I'm partnering with a rapidly growing fintech company seeking a Machine Learning Engineer / ML Lead to build and own its fraud detection and risk decisioning systems.

• Develop and deploy real-time ML models for fraud detection, payment authorization, and merchant risk.
• Build scalable ML pipelines, feature engineering processes, and MLOps infrastructure.
• Improve fraud detection, approval rates, and chargeback prevention.
• Lead ML initiatives from development through production deployment.

• 5+ years in Machine Learning, Applied Data Science, or Production ML.
• Strong experience with Machine Learning, Statistical Modeling, Feature Engineering, MLOps, and Cloud Infrastructure
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• Experience building production fraud-detection and real-time risk-scoring systems.
• Background in payments, payment processing, acquiring, PSPs, or Pay Facs
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• Experience with model monitoring, data pipelines, and large-scale transaction data.

Experience building ML functions from the ground up, real-time scoring, and fraud/chargeback systems.

Sorry, no C2C or sponsorship.

#Hiring #Machine Learning #Fintech Jobs #Fraud Detection #Chicago Jobs #MLOps #Payments #Artificial Intelligence