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Credit Risk Modelling

Datatech
Posted 25 days ago, valid for 15 days
Location

Bristol, City of Bristol BS1 6WS, England

Salary

£45,000 - £70,000 per annum

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Contract type

Full Time

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Sonic Summary

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  • Location: Bristol/Hybrid
  • Salary: negotiable to 50,000 DoE
  • Year of Experience Required: Not specified
  • Candidates must have an existing right to live and work in the UK or Europe
  • This role involves contributing to model development projects, ensuring compliance with requirements, and engaging with key stakeholders.
Credit Risk Modelling - Location - Bristol/Hybrid - Salary negotiable to 50,000 DoE - J12772

Candidates must have an existing right to live and work in the UK or Europe

This mid sized bank has fantastic opportunities for driven and enthusiastic individual to join them to rebuild their IRB model suite.

  • Contribute to specific model development/remediation projects;
  • Follow rigorous analytical solution and documentation processes and quality standards;
  • Ensure output compliance with internal and Regulatory requirements;
  • Support engagement with key stakeholders (e.g. Business Model Owners, Model Validation teams, Model Risk teams etc); and
  • Support internal model governance processes;

Skills and Experience required;
  • Credit Risk/IRB Modelling expertise is essential;
  • collaboration and communication skills;
  • Critical thinking skills; and
  • Communication and influencing skills;
  • A bachelor's degree in any quantitative field of study

Candidates must have an existing right to live and work in the UK. If this sounds like the role for you then please apply today!

Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme.

Datatech is one of the UK's leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data. For more information, visit our website: (url removed)

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