Credit Risk Quantitative Analyst

  • Location

    London, England

  • Sector:

    Banking & Financial Services

  • Job type:


  • Salary:

    £75000 - £86000 per annum

  • Contact:

    Phoebe Cheung

  • Contact email:

  • Job ref:

    PCH - Quant Risk_1604595288

  • Published:

    almost 2 years ago

  • Expiry date:


  • Startdate:


My client within corporate/retail banking is looking for two Quantitative Analytics Managers to join their team as they are looking to expand. These are permanent roles based in London.

*You must have right to work in the UK*

This role sits within the Provisions and Stress Testing Methodology team. You'll be responsible for the development and maintenance of a suite of models that cover both retail and corporate portfolios. Your ability to continually develop and improve modelling methodologies and standards will make you a key player within the bank.

What you'll be doing

  • Working alongside a team of technical experts through the development and ongoing maintenance of IFRS9 and stress test models using AGILE planning techniques.
  • Inspiring colleagues by sharing knowledge, giving feedback and supporting innovation.
  • Creating models that meet the needs of our stakeholders by collaborating with them throughout the development process.
  • Setting industry-leading standards for model developments, documentation, monitoring and ongoing model reviews.
  • Supporting the business owners in understanding where the model risks exists and how they could be mitigated.
  • Being part of a team that continually looks to improve the way we do things.

What we're looking for

  • Proven track record and practical skills in model developments (IFRS9, IRB and stress testing methodologies.)
  • Excellent quantitative ability and experience in relevant mathematical approaches (time series forecasting, scorecards, transition matrices, decision trees.)
  • Thorough understanding of regulatory / accounting requirements applicable to the area of modelling (IFRS9, stress testing, IRB)
  • Proficient programming skills to develop risk models and tools (SAS, Python or R)
  • Relevant academic qualification (or equivalent experience) in quantitative subject (mathematics, physics, statistics, econometrics)

For more details, please send your CV to

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