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Open nowFirst seen 5 days ago

Credit Risk Manager - IFRS 9

Campion Pickworth44 open roles

Where
London, England, United Kingdom
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Your applicationOpen nowCredit Risk Manager - IFRS 9Campion Pickworth · London, England, United Kingdom

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Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.3%7 days
  4. 19.3%14 days
  5. 35.6%30 days
  6. 58.1%60 days
This job: first seen 5 days ago

The posting

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.
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