Quantitative Development Lead
Listed on 2026-08-12
-
Finance & Banking
Risk Manager/Analyst, Financial Compliance
- Permanent/Regular or Fixed Term Contract/Temporary:
Permanent (UK and ROW) / Regular (US) - L&G Business Unit:
Legal & General Retirements Institutional - L&G sub Business Unit: INSTITUTIONAL RETIREMENTS
- Primary
Location:
London, One Coleman Street - Job Family: IT & Change
Legal & General (L&G) is a leading UK financial services group and major global investor.
We’ve been safeguarding people’s financial futures since 1836, and strive to build a better society, while improving the lives of our customers and creating value for shareholders.
We are one of the world’s largest asset managers and provide powerful asset origination capabilities. Together, these underpin our retirement and protection solutions: we are an international player in pension risk transfer, in UK and US life insurance, and in UK workplace pensions and retirement income.
Our Group Functions provide the services that all areas of the business need. This requires a talented and diverse team behind the scenes, who enable everyone at L&G to do what they do best.
Joining us means helping to improve the lives of our customers and contributing to the success of the business every day.
Job DescriptionWe’re looking for a Quantitative Development Lead to join our Product Engineering team within Institutional Retirement.
This is a specialist leadership role for someone who enjoys working at the point where financial modelling, software development and people leadership meet. You’ll be leading a team of developers working across C++ and Python, supporting modelling capability used across asset modelling, economic capital, market credit risk and stress testing.
You’ll help translate complex business and risk requirements into clear technical delivery, while coaching a highly skilled team and improving how modelling solutions are built, supported and controlled.
The role can be based in London, Hove or Cardiff, with hybrid working.
What you’ll be doing :- Leading a team developing and supporting financial models across asset modelling, economic capital, market credit risk and stress testing
- Translating business, risk and modelling requirements into clear technical design and delivery plans
- Managing and coaching developers working across C++ and Python
- Supporting modelling capability used within pension risk transfer pricing and risk activity
- Improving model production processes to strengthen efficiency, scalability, governance and control
- Driving delivery of modelling projects and technology-enabled change initiatives
- Providing technical leadership, guidance and training across financial modelling and analytics
- Working with stakeholders to shape, scope and prioritise model enhancements
- Experience leading, coaching or managing technical teams
- A highly mathematical, quantitative or technical background
- Experience working with financial models, asset modelling, valuation algorithms, economic capital, market credit risk or stress testing
- Python experience or the ability to work closely with Python development teams
- Ability to translate complex business or risk requirements into technical solutions
- Comfortable working in a highly numerical environment where accuracy, checks and controls matter
- Knowledge of Solvency II / Solvency UK, Internal Model or Matching Adjustment would be beneficial
- The opportunity to participate in our annual, performance
-related bonus plan and valuable share schemes - Life assurance
- Healthcare Plan (permanent employees only)
- At least 25 days holiday, plus public holidays, 26 days after 2 years’ service. There’s also the option to buy and sell holiday
- Competitive family leave
- Participate in our electric car scheme, which offers employees the option to hire a brand-new electric car through tax efficient salary sacrifice (permanent employees only)
- There are many discounts we offer – both for our own products and at a range of high street stores and online
- We’re creating net‑zero carbon workplaces by 2030 by investing in our sustainable, modern offices…
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