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.

Qualifications/Experience required:

• 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.