Company Description
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.
Job Description
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
Additional Information
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.
