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Credit Risk Manager - IFRS 9
Job in
Greater London, London, Greater London, W1B, England, UK
Listed on 2026-11-04
Listing for:
Campion Pickworth
Full Time
position Listed on 2026-11-04
Job specializations:
-
Finance & Banking
Risk Manager/Analyst, Banking Analyst
Job Description & How to Apply Below
About the job Credit Risk Manager - IFRS 9
Our client, a well-established Corporate bank, is looking to recruit a Credit Risk Manager for IFRS 9 in their London office, with hybrid working. You will be reporting to the Head of Credit Risk, and lead the production of IFRS 9 expected losses, including analysis and explanation of key drivers. This will give you the opportunity to develop your career at a growing bank in a highly visible role interacting with the senior leadership team.
Role Responsibilities:- Responsibility for the ongoing production of IFRS 9 expected losses, including analysis and explanation of key drivers.
- Enhancing IFRS 9 management information packs to provide insight and drive recommendations.
- Working to streamline the monthly reporting process to promote accuracy and timeliness.
- Supporting the validation and audit of models and the associated model lifecycle.
- Responsibility for the implementation of newly developed second generation IFRS 9 models and changes and enhancements to the existing model suites.
- Maintenance and continuous improvement of an appropriate data structure to deliver efficient and effective model risk management.
- Supporting the development of the bank's second generation IFRS 9 models.
- Strong understanding of IFRS 9 model requirements and model development experience.
- Significant experience of using SAS (macros, arrays, scoring / simulation engines); knowledge of other programming languages will be advantageous (SQL, R, Python, etc.).
- Experience implementing new models into Live within a strict change-control environment.
- An understanding of Credit Risk and techniques used to develop Credit Risk Models.
- Strong mathematical and statistical background and knowledge of statistical modelling techniques.
- Excellent written and presentational skills.
- Experience of data mining.
- Advanced knowledge of MS Office suite (Excel, Power BI, Powerpoint, Word).
- Experience of analysing SME credit and experience in a credit risk reporting role would be advantageous.
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