You'll develop and validate the models behind the Creditly score and our matching engine, balancing predictive power with fairness and explainability. The features you build show up directly in someone's offers.
What you'll do
- Develop scoring and matching models end to end
- Validate for performance, stability, and fairness
- Engineer features from financial and alternative data
- Partner with risk to ship models to production
What we're looking for
- 3+ years applied ML, ideally in credit or fraud
- Strong Python and the modern ML stack
- Rigor around validation and leakage
- Ability to explain a model to risk and compliance
Nice to have
- Experience with explainability and fairness tooling
- Production MLOps exposure