We’re looking for a Quantitative Analyst to join our Investments Quantitative team at L&G Institutional Retirement
The Investments Quantitative team support the different areas of the wider Investments and Institutional Retirement teams (e.g. New Business, Asset Liabilities Management, Portfolio Management, Structuring, Finance, Risk) with both long-term strategic technology projects and tactical solutions, through quantitative model/tool development and analyses, primarily using Python. These models are used for fixed income asset and pension liabilities modelling, optimising portfolio to maximise return/reduce risk, portfolio management and risk analytics, and capital/SCR modelling
You'll work with other members of the team in developing solutions to highly technical problems. They will be key in ensuring that solutions are accurate and well-tested, and will work closely with the business to both support and improve tools
What you'll be doing:
- Developing and enhancing a range of financial models using Python, supporting fixed income asset and pension liabilities modelling, portfolio optimisation, portfolio management, risk analytics and capital/SCR modelling
- Proactively improving existing tools and processes, including calculation efficiency, use of new libraries or techniques, code quality and testing
- Supporting processes and tools with the aim of removing manual handovers and reducing duplication
- Supporting relevant Investments teams in their day‑to‑day use of tools, troubleshooting issues, advising on methodology and implementing suggested improvements or enhancements
- Taking ownership of platform issues that affect the use of tools and escalating with relevant in‑house and vendor teams to achieve resolution
- Ensuring business and system changes follow best business practices and comply with the IT Change Management Standard
- Working with team members to develop solutions to highly technical problems and ensuring these solutions are accurate and well‑tested
- Working closely with the business to support and improve tools used across the wider Investments function
Who we're looking for:
- Python development experience, including use of NumPy, SciPy, Pandas or Polars
- Strong programming skills and understanding of computer science fundamentals such as algorithms, data structures and complexity
- Understanding of key financial engineering concepts such as no‑arbitrage principles, risk‑neutral methods, vanilla derivative pricing and VaR
- Familiarity with portfolio analytics, portfolio management and relative value assessment
- Experience developing applications or large Python libraries and interfacing Excel with Python (COM or xlwings)
- Experience with SQL, Snowflake or similar platforms, with cloud‑based development or VBA considered beneficial
- Experience using portfolio risk analytics tools such as BlackRock Aladdin, State Street Alpha or SimCorp
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