Senior Quantitative Analyst

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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 Senior Quantitative Analyst to join our Investments Quantitative team in 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 take the lead on various projects, working with the business through the specification stage and then driving the design and implementation of solutions. They will be expected to question existing approaches and to consider the ongoing validity of assumptions, working closely with the business to not just deliver a solution but to ensure that the right questions are being answered

What you'll be doing:

• Developing and enhancing financial models in Python to support fixed income, pension liabilities, portfolio optimisation and risk analytics
• Improving existing tools and processes by boosting efficiency, code quality, testing and use of new techniques
• Supporting model governance processes and ensuring compliance with internal standards and controls
• Leading the development of use cases and advising on model selection and suitability
• Acting as a subject matter expert on data and process efficiency to enable robust end-to-end analytical workflows
• Supporting investment teams with day-to-day model usage, troubleshooting, methodology advice and enhancements
• Managing and escalating platform-related issues in collaboration with internal and external technology partners
• Ensuring all changes follow best practice and relevant IT change management processes

Who we're looking for:

• Strong programming skills, with extensive experience in Python or C++ (plus at least two years of Python development) , including experience interfacing with routines written in C++ (e.g. using pybind11)
• Deep understanding of computer science fundamentals including algorithms, data structures, parallelism and complexity
• Knowledge of financial engineering concepts such as stochastic calculus, derivatives pricing, interest rate modelling and Monte Carlo simulation
• Experience optimising code for performance and memory efficiency
• Familiarity with portfolio analytics, portfolio management and relative value assessment
• Experience working with tools or platforms such as Excel integration (COM/xlwings), Azure deployment, SQL or Snowflake
• Experience using risk analytics platforms such as BlackRock Aladdin, State Street Alpha or SimCorp
• A degree in a quantitative discipline, with a postgraduate qualification in financial engineering or related fields considered beneficial

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

Qualifications

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.