240K–370K USD / year
Director, Data Science and Machine Learning (Risk and Fraud)
DataHybrid — New York
Published on 2026-09-10
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About this role
As a Director of Data Science and Machine Learning, you will lead a team responsible for building and deploying machine learning models to mitigate risk and fraud in payment processing. This hands-on role involves mentoring your team while also contributing technically by developing and shipping models. You will collaborate closely with various departments to ensure effective model performance and business impact.
About the company
Trustly is an open banking payments company that lets consumers pay and get paid directly from their bank accounts.
The team
Data team
Stack
PythonSQLSparkRedshiftSnowflakeDatabricksAWS SageMakerGCP Vertex AI
What you'll do
- Build, validate, and deploy machine learning models
- Mentor and develop a team of Data Scientists and Machine Learning Engineers
- Own the model roadmap and performance in production
- Partner with Product and Engineering teams
What we're looking for
- 8+ years in machine learning with 2 years in a leadership role
- Strong Python and SQL skills
- Experience in fraud or payments risk management
- Capability to build and evaluate production machine learning models
Nice to have
- Experience with open banking or transaction data
- ACH or EFT domain expertise
- Knowledge of feature stores and real-time decision systems
Benefits
- Flexible paid time off
- Comprehensive health insurance
- Retirement plan match
- Home office set-up allowance