Lloyds Banking Group
Assistant Manager, Model Validation Quant
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JOB TITLE: Assistant Manager, Model Validation Quant
SALARY: £65,304 - £72,560
LOCATION: London
HOURS: Full-time
WORKING PATTERN: Our work style is hybrid, which involves spending at least two days per week, or 40% of our time, at one of our office sites. Colleagues with disabilities can be supported with workplace adjustments including hybrid working expectations in line with our Flexibility Works policy.
What you'll be doing
An excellent opportunity has arisen for a highly motivated applicant to join the Model Risk Office at Lloyds Banking Group. This is an exciting opportunity to be part of a dynamic team in a changing and challenging environment, which offers considerable scope for personal development.
Become part of the Markets & AI Modelling team which covers pricing models, counterparty risk models, and AI technology. Our team provides independent review and challenge of derivatives pricing models used for valuation and risk management, helping to ensure that the Group maintains rigorous standards and robust practices across its operations.
Day to day, responsibilities include:
- Deliver in-depth theoretical assessments of pricing models across various asset classes.
- Independently benchmark Front Office pricing models using C++ and Python.
- Perform qualitative analyses and stress tests to measure model performance.
- Compile comprehensive validation reports that clearly detail your findings and recommendations.
- Develop, enhance, and maintain internal tools that support and streamline the model validation process, contributing to the team's overall efficiency and impact.
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Why join us?
We're transforming at pace. Investing billions in our people, data and tech to change the way we meet the needs of our 28 million customers. We're growing, and we'd love you to be part of the journey.
What we're looking for?
- A Master's degree or higher in a quantitative discipline (e.g., Mathematics, Physics, Quantitative Finance) or equivalent experience in a quantitative role.
- A solid theoretical understanding of, and familiarity with, derivative pricing models, stochastic calculus, partial differential equations and Monte Carlo methods.
- Excellent problem-solving and time management skills.
- Strong written and verbal communication skills, with the ability to articulate complex mathematical concepts clearly and concisely.
- The ability to work independently, meet deadlines, and perform well under time pressure.
And any experience of these would be great
- Prior experience in a Model Validation or Front Office Quant role.
- Programming experience in C++ and/or Python including library architecture design.
- Strong understanding of financial derivatives and risk modelling.
- Ability to critically evaluate model performance and identify limitations.
- Familiarity with regulatory expectations related to model risk.
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We know that great talent comes from many backgrounds. Whilst this job advert may reference specific years of experience, we recognise that skills are developed in many ways, so if you have relevant, transferable experience, we encourage you to apply.
This is a place for you
We offer reasonable workplace adjustments for colleagues with disabilities, including flexibility in office attendance, location and working patterns. And, as a Disability Confident Leader, we guarantee interviews for a fair and proportionate number of applicants who meet the minimum criteria for the role with a disability, long-term health or neurodivergent condition through the Disability Confident Scheme.
We also offer a wide-ranging benefits package, which includes:
- A generous pension contribution of up to 15%
- An annual performance-related bonus
- Share schemes including free shares
- Benefits you can adapt to your lifestyle, such as discounted shopping
- 28 days' holiday, with bank holidays on top
- A range of wellbeing initiatives and generous parental leave policies
Ready for a career where you can have a positive impact as you learn, grow and thrive? Apply today and find out more.
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