Head of Data Science & ML — Real-Time Risk & Fraud
Trustly
Trustly is hiring a hands-on ML leader for their San Francisco/New York hybrid hub. You will build and deploy production-grade models for ACH risk, fraud, and account takeover, while mentoring a team of data scientists and ML engineers. You’ll own the roadmap, drive experiments, and partner with Risk, Product, and Engineering to deliver measurable business value. In this role you will design low-latency, high-volume inference systems, monitor models in production, and translate complex results #J-18808-Ljbffr Trustly
Vacancy posted 3 days ago
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