Senior Quantitative Analyst - Model Validation

London
£93,160 - £116,450 + benefits
18 May 2023
07 Jun 2023
086896
Permanent
Full Time
End date

Wednesday 07 June 2023

Salary range

£93,160 - £116,450

We support agile working

Click here for more information on agile working options.

Agile Working Options

Other Agile Working Arrangements / Open to Discussion

Job description

At Lloyds Banking Group, we have a clear purpose; to help Britain prosper and to become the best Financial Services provider for our customers. Through our brands, our Group has a relationship with just about every household and community in the UK. We underpin the lives of millions of individuals and businesses, and play a key role in helping to build a growing UK economy.

About the role!

The team 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 skills and experience can you bring to the role?

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 essential :

  • 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.


And in return...

It is a very exciting time to join LBG. Together we'll continue our market leading, ground breaking transformation and you'll help us realise the Group's vision to become the Best Bank for Customers. Here, you'll grow as a person and develop your career.

As well as a competitive salary (dependent upon location and experience, you’ll receive:

  • Discretionary Performance Share Award
  • Generous pension contribution
  • A flex benefits cash pot you can adjust to suit your lifestyle (4% on top of your basic salary)
  • Private health cover
  • Share schemes
  • 30 days holiday plus bank holidays


The location of this role is flexible.

In return for your expertise, you'll enjoy our total dedication to your ongoing personal and professional development. We'll help you perform at your best today, so you can fulfil all your potential in the future.

Lloyds Banking Group is committed to building a workforce which reflects the diversity of the customers and communities we serve, and to building an inclusive environment where all our colleagues can be themselves and succeed on merit. We're an equal opportunity employer and deeply value diversity within our organisation.

We've gained industry recognition including Stonewall Top 100 Employer, Top 30 Employer for Working Families, Gold Standard 2014 from the Business Disability Forum and Top 50 Employer for Women.