Quantitative Developer (Asset Management)

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.

Our global asset management business provides our clients and partners with complex, responsible investment solutions, working internationally across public and private markets.

Who we are

We are one of Europe’s largest asset managers and a major global investor across public and private markets.

Asset Management is a critical driver of our Group strategy. The business aims to work synergistically with our Institutional Retirement and Retail divisions to benefit our clients and customers, and deliver enhanced shareholder returns. 

Our investment philosophy and processes are focused on creating value over the long term. We believe that incorporating financially material sustainability criteria, when relevant to our clients, can create value and drive positive change.

Job Description

We are seeking a highly skilled Quantitative Developer to join our team and play a key role in supporting the continued growth of our Multi-Asset and Asset Allocation businesses. This role will focus on the design and development of scalable, Python-based services that directly enhance our multi-asset investment capabilities and fund range.

It is an excellent opportunity for an intellectually curious, fast-learning professional with strong Python expertise and a solid understanding of asset management to make a meaningful impact. The successful candidate will bring a problem-solving mindset, strong proficiency in Python and SQL, and a genuine enthusiasm for collaborating within a dynamic, high-performing team environment.

What you’ll be doing:

• Designing, developing, and maintaining robust Python‑based analytics to support portfolio construction, risk analysis, and performance measurement
• Building scalable, well‑tested, and clearly documented code for use in a production environment
• Integrating multiple data sources, including market data, portfolio holdings, benchmarks, and risk metrics
• Automating recurring analytical, reporting, and data workflows to improve efficiency and scalability
• Validating analytical outputs to ensure results are economically intuitive as well as technically sound
• Collaborating closely with Portfolio Managers, strategists, and risk teams to ensure outputs align with investment intent and market reality
• Partnering with investment professionals to clarify requirements, assumptions, and use cases throughout development
• Documenting models, methodologies, assumptions, and limitations clearly and comprehensively
• Explaining complex technical outputs to non‑technical stakeholders in a clear and actionable manner

Who we’re looking for:

• Strong ability to translate investment products, portfolios, and constraints into robust, production‑grade analytical systems
• Excellent data skills, with deep expertise in SQL, data structures, and data processing workflows
• Proven experience with modern software engineering practices, including version control, testing, and code reviews
• Demonstrated commitment to building resilient, well‑engineered software, supported by excellent Python development skills
• Solid understanding of how analytical outputs are used within the investment management and decision‑making process
• Ability to communicate complex analytical concepts and issues clearly to a broad range of stakeholders
• A collaborative mindset with willingness to work closely and in person with quants, portfolio managers, and engineers, spending at least 2–3 days per week in our central London office
• Capability to deliver complex coding initiatives that enhance and scale the multi‑asset investment toolkit

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 many discounts we offer – both for our own products and at a range of high street stores and on