Our fintech is rebuilding our credit risk scoring model and we need a freelance data scientist to lead the modelling work.
You'll own the feature engineering, model selection, validation, and documentation. Our data team will support with data access and infrastructure — this role is purely modelling.
Project scope: audit current model → propose improved approach → build and validate → hand off to internal team with full documentation.
We're looking for someone who has built credit or risk models before, ideally in a regulated environment.
Requirements
Technical stack needed for this mission.
– Solid credit risk or financial ML modelling experience
– Python, Pandas, Scikit-learn proficiency
– Familiar with model validation (AUC, Gini, KS stats)
– Experience writing model documentation for compliance