We are AMS. We are a global total workforce solutions firm; we enable organisations to thrive in an age of constant change by building, re-shaping, and optimising workforces. Our Contingent Workforce Solutions (CWS) is one of our service offerings; we act as an extension of our clients’ recruitment team and provide professional interim and temporary resources.

Our client Lloyds Banking Group is a leading UK based financial services group providing a wide range of banking and financial services, focused on personal and commercial customers. Lloyds Banking Group support a culture of Inclusion and opportunities to develop to become the Bank of the future and Helping Britain Prosper.

On behalf of Lloyds Banking Group, AMS are looking for a Qunat Modeller/ Analyst for a 6 Months based in London/ Hybrid.

Purpose of the Role:

An excellent opportunity has arisen for a highly motivated applicant to join the Chief Operating & Risk Science Office – Market and Liquidity Risk team within Bank. This is an exciting opportunity to be part of a dynamic team in a changing and complicated environment, which offers considerable scope for personal development.

As a Quant Modeller/ Analyst you will be responsible for:

You’ll join a team which is responsible for the independent review and analysis of the derivative pricing models used for valuation and risk. We also cover equity investment and real estate valuation models.

You’ll develop and benchmark pricing models in an independent code library using either C++ or Python, provide theoretical analysis and review of pricing models across asset classes understanding the mathematical models used and their implementation methods

You’ll also provide qualitative analysis and stress testing of models needed for pricing and/ or risk calculation.

Other responsibilities include:

  • Conducting the annual review for pricing models
  • Undertaking algorithmic trading validation work according to MiFID regulation
  • Undertaking trade surveillance validation work needed by FCA regulation
  • Crafting model reserves and calculate model risk AVAs
  • Reviewing the Prudential Valuation adjustments including reserves

What we require from the candidate:

To be considered, it is crucial that you have a numerical or statistical background (evidenced through a higher qualification to at least Masters level in a quantitative subject such as Mathematics or Finance, or via demonstrate commercial experience in a quantitative role)

It is also crucial to have experience of working in a Model Validation or Front Office Quant role.

In addition, knowledge and experience of the following would be beneficial:

  • Strong analytical skills
  • Programming experience in C++ and/ or Python including library architecture design
  • Excellent written and oral communication skills with an ability to communicate quantitative models in a clear and concise manner
  • Theoretical understanding and familiarity with derivative pricing models, stochastic calculus, partial differential equations and Monte Carlo simulation
  • Ability to work independently to deadlines and under time pressure

Lloyds Banking Group will only accept workers operating via an Umbrella or PAYE engagement model.

If you are interested in applying for this position and meet the criteria outlined above, please click the link to apply and we will contact you with an update in due course.

AMS, a Recruitment Process Outsourcing Company, may in the delivery of some of its services be deemed to operate as an Employment Agency or an Employment Business

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