Senior Quantitative Analyst at LegalAndGeneral

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 processesWho 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 beneficialWhatever 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