Negotiable
Undetermined
Undetermined
London Area, United Kingdom
Summary: The Credit Risk Modeller role involves developing Probability of Default (PD) models and other credit models for a consumer lending FinTech on a day rate contract basis. The position requires expertise in logistic regression and gradient boosting methods, along with strong SQL and Python skills. Candidates must have over 10 years of experience in credit risk modelling, specifically for consumer lenders. Sponsorship is not available for this role.
Key Responsibilities:
- Develop PD models and other credit models/scorecards using logistic regression and gradient boosting methods.
- Engage in projects related to business strategy, churn likelihood, and potential for leaving.
- Work on complexion models.
Key Skills:
- Strong SQL and Python skills.
- Experience in developing models for consumer lenders (personal loans or credit cards).
- 10+ years of experience in credit risk modelling.
Salary (Rate): undetermined
City: London Area
Country: United Kingdom
Working Arrangements: undetermined
IR35 Status: undetermined
Seniority Level: undetermined
Industry: Finance
I am currently looking for a Credit Risk Modeller to join a consumer lending FinTech on a day rate contract basis. The role will include developing a PD Model and other Credit Models/Scorecards using logistic regression and gradient boosting methods. There will also be work/projects within business strategy, churn likelihood, potential for leaving and complexion models. The ideal candidate should have strong SQL & Python and the candidate needs to have experience developing models for consumer lenders (personal loans or credit cards). Must have 10+ years within Credit Risk Modelling. (No sponsorship available for the role)