Quantitative Developer (Asset Management)

Legal & General (L&G) is a leading UK financial services group and major global investor. We have 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 asset origination capabilities. Our global asset management business provides clients and partners with complex, responsible investment solutions, working internationally across public and private markets. Asset Management is a critical driver of our Group strategy.

We are seeking a highly skilled Quantitative Developer to join our team and support the continued growth of our Multi-Asset and Asset Allocation businesses. This role focuses on designing and developing scalable, Python-based services that enhance our multi-asset investment capabilities and fund range. 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.
• Capability to deliver complex coding initiatives that enhance and scale the multi-asset investment toolkit.

Benefits:

• 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.
• Competitive family leave.
• Participation in our electric car scheme, with salary sacrifice for permanent employees.
• Discounts offered on products and at a range of high street stores and online.
• Net-zero carbon workplaces by 2030 with sustainable, modern offices across the UK.

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. We are open to discussing flexible working options including part-time, term-time and job shares where possible. We encourage applicants to apply regardless of meeting every criterion.