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Barclay Simpson is recruiting a senior credit risk professional in London for a hybrid role with three days in the office. You will lead the Models & Data agenda within Portfolio Management and act as first‑line Model Owner for a portfolio of credit risk models, including IRB, PD/LGD/EAD, IFRS 9 and stress testing.
You will collaborate with Model Development, Validation, Risk, Finance and Data teams to shape how credit risk models and analytics are used for oversight, regulatory engagement and
London | Hybrid working | 3 days per week in the office
We are looking for a senior credit risk professional from a model development, model governance, model validation or portfolio analytics background to join a major UK financial institution.
This is a broad, hands‑on role combining model ownership, portfolio analytics, data oversight and senior stakeholder engagement. You will help shape how credit risk models, data and analytics are used to support portfolio oversight, regulatory engagement and business decision‑making.
You will lead the Models & Data agenda within the Portfolio Management function and act as first‑line Model Owner for a portfolio of key credit risk models, including IRB, credit grading, IFRS 9 and stress‑testing models.
Working closely with Model Development, Model Validation, Model Risk, Credit Risk, Finance, Analytics, Data and Technology teams, you will provide the link between technical modelling teams and the wider business.
Key responsibilities will include:
We are particularly interested in candidates from:
You should have strong exposure to credit risk models and be comfortable understanding, interpreting and challenging their outputs.
Relevant experience could include IRB, PD/LGD/EAD, IFRS 9, ECL, stress testing, credit grading models, model monitoring or portfolio analytics.
You do not need to have worked previously as a formal Model Owner. What matters is that you understand credit risk models in sufficient depth to engage credibly with technical teams and translate their outputs into clear implications for the wider business.
Strong analytical and data skills are also important. Experience with Excel and BI tools such as Power BI, Tableau or QlikView is desirable, while SQL or SAS would be advantageous.
This is an excellent next step for someone who has built their career in model development, validation, governance or portfolio analytics and now wants broader ownership, greater business exposure and regular interaction with senior stakeholders.
The organisation operates a hybrid working model, with three days per week expected in the London office.