Senior Quantitative Analyst

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. 

L&G Institutional Retirement looks after around 700,000 institutional customers who have their retirement benefits secured with us. Operating continuously in the UK market from our entrance in 1987, we are the UK’s longest-running insurer. 

Our Institutional Retirement business is the UK’s longest-serving active bulk annuity provider.

Who we are 

Institutional Retirement is the only insurer to have been operating continuously in the UK market from our entrance in 1987 to the present day. Our UK retirement annuity book stands at an estimated £86.1 billion at 31 December 2023. 

Across our retail and institutional retirement businesses, we look after more than 1 million customers, around c.700,000 of whom are institutional customers who have had their retirement benefits secured with us. 

We’re looking for a Senior Quantitative Analyst to join our Investments Quantitative team within L&G Institutional Retirement.

The Investments Quantitative team supports a wide range of functions across Investments and Institutional Retirement (including New Business, Asset Liability Management, Portfolio Management, Structuring, Finance, and Risk). The team delivers both long-term strategic technology initiatives and tactical solutions through quantitative model and tool development, primarily using Python and .NET technologies. These solutions underpin pricing, fixed income portfolio construction, pension liability modelling, portfolio optimisation, risk analytics, and capital modelling. 

You’ll take the lead on a range of complex projects, partnering closely with business stakeholders from initial specification through to design and implementation. You’ll be expected to challenge existing approaches, assess the ongoing validity of assumptions, and ensure solutions address the right business problems—not just deliver technical outputs.

What you'll be doing:

• Developing and enhancing pricing models and fixed income portfolio construction tools
• Designing and building scalable, high-performance systems using Python and C#/.NET
• Improving existing platforms through better engineering practices, code quality, testing, and performance optimisation
• Supporting model governance, ensuring models meet internal standards across ownership, controls, and risk
• Contributing to the design of distributed systems (microservices/serverless) and cloud-based architectures (AWS/OpenShift)
• Working with large datasets, designing robust data models and efficient processing pipelines
• Collaborating with investment teams to support model usage, troubleshooting, and enhancements
• Driving best practices in software engineering, including testing, CI/CD, and DevOps-enabled delivery
• Ensuring all system and model changes follow appropriate governance and IT change management processes

Who we're looking for:

• Strong programming expertise in Python and C#/.NET, with a solid foundation in software engineering principles (e.g. SOLID, design patterns, clean architecture)
• Deep understanding of computer science fundamentals, including algorithms, data structures, and system design
• Strong knowledge of financial engineering concepts (e.g. stochastic calculus, derivatives pricing, interest rate modelling, Monte Carlo simulation, VaR)
• Experience building high-performance, scalable systems and optimising code for efficiency
• Strong data skills, including SQL and experience structuring reliable and performant data solutions
• Familiarity with portfolio analytics, portfolio construction, and risk modelling
• Experience with modern cloud and DevOps environments (e.g. AWS, distributed systems, microservices)
• Experience with industry risk platforms (e.g. BlackRock Aladdin, State Street Alpha, SimCorp) is advantageous
• Degree in a quantitative discipline; postgraduate qualifications in financial engineering or similar are beneficial
• Strong communication skills, with the ability to explain complex technical concepts to a wide audience

Whatever your role, we reward performance and behaviour with a package that looks after all the things that are important to you. Here are some of the benefits we offer:

• The opportunity to participate in our annual, performance -related bonus plan and valuable share schemes
• Generous pension contribution
• 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 the 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 across the UK, all designed to bring people together and elevate the in‑person experience

At L&G, we believe it's possible to generate positive returns today while helping to build a better future for all. 

If you join us, you’ll be part of a welcoming, inclusive culture, with opportunities to collaborate with people of diverse backgrounds, views, and experiences. Guided by leaders with integrity who care about your future and wellbeing. Empowered through initiatives which support people to develop their careers and excel.

We care passionately about outcomes rather than attendance and are therefore open to discussing all kinds of flexible working options including part-time, term-time and job shares. Although some roles have limited flexibility due to customer demand, we accommodate requests when we can. 

It doesn’t matter if you don’t meet every single criterion in this advert. Instead, think about what you excel at and what else you can bring in terms of strengths, potential and connection to our purpose.