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Lead Credit Modelling Data Analyst

  • Birmingham, Bristol, Edinburgh
  • £70-80k
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A leading financial institution, is seeking a lead analyst to join the data management team within credit analytics to support the model development process as a data analyst.  The wider team are responsible for developing, implementing, and executing a range of statistical and econometric models that support the bank’s wholesale and divisions. This role will support the efforts of capital (AIRB) and IFRS9  models and will manage a small team of analysts.

Key areas of responsibility are as follows:

• Conducting qualitative and quantitative analysis and preparing insightful advice for business consideration
• Carrying out governance and control activities including deliverables tracking, reviewing or preparing meeting minutes, reporting on process and control environment and managing control remediation activities
• Leading the delivery of regulatory-compliant data for credit modelling
• Delivering change that enhances the efficiency or effectiveness of Credit Insight and Analytics analytical output

Candidates could come from a variety of backgrounds, most likely credit modelling, credit risk, credit data or similar.  Key skills needed – understanding of the credit modelling process and the data requirements for the same, good technical skills (Python/SAS/SQL/AWS), some experience working on projects either as an SME or BA.

Our client is committed to providing a supportive and inclusive culture and environment for its employees to work in. They recognize the importance of balancing personal needs with the professional needs of the business and offer flexible working arrangements to all employees globally.

Join a dynamic and motivated team of professionals in an exciting and challenging role, where you will have the opportunity to apply your skills and knowledge to make a real impact on the success of the bank.

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We seek individuals from a diverse talent pool and encourage applicants from underrepresented groups to apply to our vacancies. Our commitment to fair recruitment processes means that we welcome applicants from all backgrounds, regardless of their lived experience or personal characteristics. We also invite applicants who meet most of the listed requirements, even if not all, to apply. If you require any adjustments to the application process, please let us know.

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