We are a three-year-old fintech building credit risk tools for emerging market lenders. Our core product uses ML to generate creditworthiness scores from alternative data sources — mobile usage patterns, transaction history, psychometric inputs. We serve 40 lender clients in 8 countries. Our current model stack is maintained by two engineers who are increasingly stretched across deployment, retraining, and feature work. We need a senior AI engineer who can take ownership of the model development side — not just maintain what we have, but redesign it as we scale to new markets and new data types. You'll work directly with our CTO and have full technical authority over model architecture decisions.
Responsibilities
Own the end-to-end architecture of our credit risk ML models
Lead the transition to new model types as we expand to new markets
Define model evaluation frameworks and fairness monitoring protocols
Collaborate with product and data engineering on feature pipeline design
Mentor the two ML engineers currently maintaining the stack
Requirements
5+ years ML engineering with financial or credit risk models in production
Strong Python (PyTorch or Scikit-learn) and deep feature engineering experience
Experience with alternative data sources or time-series behavioural data
Able to lead model design decisions and communicate trade-offs to a technical CTO
Familiarity with model fairness and explainability requirements (SHAP, LIME, or similar)
Benefits
Significant technical ownership at a funded fintech
Remote — team distributed across London, Lagos, and Singapore