Risk Modelling Manager - Belfast, United Kingdom - eFinancialCareers

Tom O´Connor

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Tom O´Connor

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Description
Join us as a Risk Modelling Manager

  • We're looking for someone to lead the development and maintenance of quantitative models used in the bank's risk frameworks
  • You'll have the chance to supervise the daytoday operation of analysts in your team, giving depth and variety to your development
  • This is an opportunity to interact with different credit risk areas, like IFRS9 and Stress test, and to interact with various stakeholders independently

What you'll do

As a Risk Modelling Manager, you'll be integral in the design, development and maintenance of effective and compliant statistical risk and decision support models and related analytics.

You'll be leading a team of highly technically skilled managers and model developers, making sure that you support their ongoing coaching and development.


You'll also be:

  • Providing the business and other stakeholders with advice and support on model use, model impact and model implementation
  • Supporting regulatory engagement and internal governance in relation to risk models and model frameworks
  • Supporting the business through developing and maintaining risk and decisionsupport models
  • Providing actionable MI on all aspects of model performance
  • Assisting your team manager with setting objectives for analytical resource and assessing performance

The skills you'll need
We're looking for someone with strong experience in end-to-end model development in various credit risk components. You'll also have basic python, PD/LGD/EAD's and statistical concepts knowledge.

You'll be qualified to degree level in a numerate discipline with a background in data-driven analysis and statistical or mathematical modelling.

Advanced python skills and IFRS9 experience would also be advantageous.
To be successful in this role, you'll also need:

  • Extensive banking and financial services experience
  • A broad background of risk systems, methodologies and processes in a retail or wholesale bank environment
  • Good project management skills and the ability to work well as part of a team, sharing ideas and learning from others
  • The ability to translate complex and statistical techniques into simple, easily understood concepts
  • Excellent problem solving skills and the ability to identify alternative solutions

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