3 of 3 Credit Risk Modeller Jobs in London

Python/SAS Retail IRB Senior Credit Risk Modeller and/or Validator - Retail IRB Location : London (client site, office) Salary : £70,000 - £90,000 plus equity This is a rare opportunity to join a boutique, founder-led consultancy that punches well above its weight in the financial services sector. With a reputation for delivering high-quality … institutions in banking. Despite a compact team structure, their work is complex, valuable, and increasingly in demand. Following a series of significant project wins, the consultancy is seeking experienced credit risk professionals to lead delivery across a range of IRB retail portfolios. The roles offer a blend of hands-on model development and/or independent validation, combined … with client advisory work in an evolving regulatory landscape. Candidates must bring: Extensive experience in IRB credit risk modelling or model validation within retail portfolios. Technical proficiency in Python, SAS, and SQL for data handling, analysis and model implementation. Strong working knowledge of PD, LGD or EAD methodologies. Experience managing workstreams and delivering directly to clients. An analytical More ❯

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 More ❯

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 More ❯