Data Scientist – Credit Risk and Fraud
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Summary
Build and deploy ML models for credit risk and fraud detection, integrating them into LangChain/LangGraph pipelines while ensuring explainability and regulatory compliance.
- Collaborate on model deployment tracking and lifecycle management
- Design credit risk and fraud detection models
- Ensure model explainability robustness and regulatory compliance
- Integrate model outputs into LangChain and LangGraph orchestration pipelines
- Monitor model performance and implement continuous improvements
- Perform feature engineering on structured financial datasets
- Support documentation and governance in regulated environments
- Train validate optimize machine learning models for production
Perks/Benefits:
- Healthcare
- Long-term contract
- Multinational environment
- Remote work