AI & Data · Full-time
Machine Learning Engineer — Credit & Fraud
Build and operate explainable risk and fraud models for lending and insurance clients.
Location: [LOCATION] / Hybrid
Responsibilities
- Develop and validate models on tabular financial data
- Build point-in-time-correct feature pipelines
- Implement explainability, fairness testing and monitoring
- Work with credit and risk stakeholders to translate policy into systems
What we are looking for
- Production experience with gradient-boosted models and Python
- Understanding of model validation, leakage and drift
- Experience with MLOps tooling
- Interest in regulated, high-stakes applications of ML