Senior Quantitative Analyst

We’re looking for a Senior Quantitative Analyst to join our Investments Quantitative team in L&G Institutional Retirement. The Investments Quantitative team supports various areas of the wider Investments and Institutional Retirement teams (e.g. New Business, Asset Liabilities Management, Portfolio Management, Structuring, Finance, Risk) with long‑term strategic technology projects and tactical solutions, using quantitative model/tool development and analyses, primarily in 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. You will be expected to question existing approaches and consider the ongoing validity of assumptions, working closely with the business 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; a postgraduate qualification in financial engineering or related fields is considered beneficial.

Benefits:

• Opportunity to participate in an 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.
• Option to buy and sell holiday.
• Competitive family leave.
• Participation in an electric car scheme, offering employees the option to hire a brand‑new electric car through tax‑efficient salary sacrifice (permanent employees only).
• Various discounts for our own products and at a range of high‑street stores and online.
• Commitment to net‑zero carbon workplaces by 2030 through investment in sustainable, modern offices across the UK.

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. Our leaders have integrity, care about your future and wellbeing, and empower you through initiatives that support career development and excellence. 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.