Job Description
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
Benefits
- 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, and 26 days after 2 years’ service. There’s also the option to buy and sell holiday
- Competitive family leave
- Participation 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)
- Discounts on our own products and at a range of high‑street stores and online
- Net‑zero carbon workplaces by 2030, investing in sustainable modern offices across the UK, all designed to bring people together and elevate the in‑person experience
Additional Information
At L&G, we believe it’s possible to generate positive returns today while helping to build a better future for all.
We care passionately about outcomes rather than attendance and are 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.
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