Back to Job Search

Job Description

A worldwide top tier bank are looking to bring on board a Senior Credit Manager: Model Review with experience within IFRS9 retail credit modelling to join their large global team. The successful candidate will be joining the team in London.

In this role you will:

  • Review of Credit Risk models across HBEU & MENA in accordance with Regulatory requirements, GMO guidelines, FIM etc., with particular focus on Retail or Wholesale Credit Risk.
  • Review policy and framework.
  • Oversight of all Risk models across HBEU & MENA.
  • Keeping the regional Model Oversight Committees (MOC) updated on model risk.
  • Carry out independent reviews for risk models developed in HBEU and MENA and support other regions when required.
  • Interaction with modelling teams to provide insightful and constructive feedback on models developed and potential improvements.
  • Interaction with HBEU and MENA MOC and other regional forums on model related issues.
  • Strong communication working alongside the modelling teams to ensure all findings and recommendations are clearly understood; and with Group Risk to ensure implementation of new independent review policies or standards.
  • Provide support to members of regional and global model review functions.
  • Support the Regional Credit Risk Lead and Regional Head of in relation to team activity, succession planning, talent management, performance management and improving employee engagement.
  • Interaction with onshore and offshore EMEA staff.
  • Maintain review framework and process.
  • Effectiveness of implementation of processes, techniques and other associated methodologies.

To be successful in this role you should meet the following requirements:

  • Comprehensive knowledge of statistical models and scorecard development techniques.
  • Detailed knowledge of Credit Risk models, typical performance metrics and risks and associated issues.
  • Detailed knowledge of IRB regulatory framework (CRD IV/CRR, EBA's Guidelines and Technical Standards, PRA's Supervisory Statement papers).
  • Knowledge of Machine Learning techniques in Credit Risk.
  • Knowledge of PRA/EBA Stress Testing and IFRS9 framework.
  • Relevant product knowledge including excellent understanding of retail or / wholesale credit products and lending process.
  • Experience with developing Basel II (PD, EAD, LGD), Stress Testing, IFRS9/IAS39 and Risk models throughout the customer lifecycle.
  • Experience with presenting recommendations to Senior Management.
  • Experience with conducting independent model reviews.
  • Ideally the candidate would have 5+ years of experience in related roles.
  • Experience in developing Machine Learning models in Credit Risk is highly desirable.
  • Ability to present complex statistical concepts and results to non-technical audiences in a persuasive and compelling manner.
  • Ability to produce high quality written documentation, including model review reports, policy papers and presentations.

If you are interested in this role please apply below or contact me for more information.