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Credit Risk Modelling Manager

  • Location: London
  • Salary: £65,000 - £75,000 per year
  • Job Type:Permanent

Posted almost 3 years ago

  • Sector: Credit Risk & Analytics
  • Contact: David Herman
  • Contact Email: dherman@merje.com
  • Expiry Date: 23 July 2021
  • Job Ref: 17641

 

MERJE is looking for an experienced Credit Risk professional to join a specialist bank and lead modelling strategy and solutions, including hands-on analytics and model development.

You will be joining an established lender with a ~10 year history of providing excellent products and services to retail and commercial customers. Salary is circa £75,000 dependent on experience.

Key Responsibilities of the Credit Risk Modelling Manager

  • Support the development and delivery of modelling strategy and solutions

  • Continuously enhance analytic methodologies, tools and processes

  • Develop predictive capabilities on portfolio performance

  • Contribute to IFRS9 impairment forecast modelling and process

  • Hold and share expert-level knowledge of SAS, modelling tools, data requirements, etc.

  • Establish constructive working relationship with stakeholders and colleagues

  • Required knowledge and experience for the Lead Credit Risk Modelling Analyst role:

  • Strong quantitative background, ideally with a high degree / masters in Applied Mathematics, Statistics, Econometrics or similar

The Credit Risk Modelling Manager will have/be:

  • Extensive industry experience, credit risk model building within retail banking

  • Strong SAS abilities. SQL and VBA would also be beneficial on top of this

  • Advanced modelling and scorecards knowledge - regression, econometrics, time series, simulations, optimization, credit scorecards, IRB, IFRS9, etc.

  • Comfortable in leading projects and training colleagues

Please note, should feedback not be received within 28 days due to the large volume of applications, unfortunately your application has been unsuccessful. However, we may be in touch with similar relevant opportunities.