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Data Manager

Reed
Posted 9 hours ago, valid for 16 days
Location

Redhill, Surrey RH1 4EJ, England

Salary

£70,000 - £90,000 per annum

Contract type

Full Time

Employee Assistance

In order to submit this application, a Reed account will be created for you. As such, in addition to applying for this job, you will be signed up to all Reed’s services as part of the process. By submitting this application, you agree to Reed’s Terms and Conditions and acknowledge that your personal data will be transferred to Reed and processed by them in accordance with their Privacy Policy.

Sonic Summary

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  • The Quantitative Analytics Manager position is based in Redhill and offers a salary ranging from £70,000 to £90,000 per annum.
  • This full-time role requires extensive experience in IRB model development and validation, particularly in credit risk management.
  • Candidates should be proficient in statistical data programs such as SAS, Python, or R, and possess a strong understanding of IRB regulations.
  • Key responsibilities include developing and maintaining IRB models, producing model documentation, and ensuring regulatory compliance.
  • The position includes benefits such as 30 days of holiday, a performance-based bonus, and private medical cover.
Quantitative Analytics Manager
  • Location: Redhill (Hybrid)
  • Salary: £70,000 - £90,000 per annum 
  • Job Type: Full-time

We are seeking a Quantitative Analytics Manager with extensive experience in IRB (Internal Rating Based) model development and validation. This role is crucial for developing, maintaining, and improving models to meet both regulatory requirements and business needs. The ideal candidate will have a strong background in statistical data programmes and credit risk management.

Day-to-day of the role:

  • Develop and maintain IRB models including Rating, PD, LGD, and EAD models, as well as stress testing models.
  • Produce comprehensive model documentation and reports using MS Word, SAS/R, and Excel.
  • Manage ongoing model maintenance (calibration) and monitoring post-implementation.
  • Design and improve models proactively based on business changes and stakeholder discussions.
  • Ensure models are compliant with regulations and business requirements.
  • Analyse the impact of business, market, or economic changes on model performance.
  • Coordinate regulatory self-assessments and stakeholder responses concerning IRB compliance.
  • Support model testing and monitoring activities, including regular checks and ad hoc recalibrations.
  • Represent the organisation in internal and group committees related to model development and performance.
  • Present monitoring results and recommendations to stakeholders clearly and effectively.

Required Skills & Qualifications:

  • Extensive experience in model development and validation within an IRB or IFRS9 environment.
  • Proficiency in statistical data programmes such as SAS, Python, or R.
  • Strong understanding of IRB regulations (CRR, PRA, EBA) and their application in modelling.
  • In-depth knowledge of credit risk and financial products.
  • Ability to use a variety of statistical techniques and translate technical and regulatory terms for non-technical stakeholders.
  • Excellent Microsoft Office skills, especially Excel.
  • Strong analytical and numerical skills.

Benefits:

  • Competitive salary based on experience.
  • 30 days holiday per annum, plus bank holidays.
  • Performance-based annual bonus.
  • Car allowance.
  • Private medical cover.
  • Generous pension contributions.
  • Employee assistance programme.
  • Discounted gym passes for over 3,000 gyms and leisure centres.

To apply for the Quantitative Analytics Manager position, please submit your CV detailing your relevant experience and why you are interested in this role.

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In order to submit this application, a Reed account will be created for you. As such, in addition to applying for this job, you will be signed up to all Reed’s services as part of the process. By submitting this application, you agree to Reed’s Terms and Conditions and acknowledge that your personal data will be transferred to Reed and processed by them in accordance with their Privacy Policy.