At a Glance
- Tasks: Lead complex projects in quantitative analysis and develop innovative pricing models.
- Company: Join L&G, a forward-thinking company focused on positive outcomes and sustainability.
- Benefits: Enjoy competitive pay, generous holiday, healthcare, and electric car schemes.
- Other info: Flexible working options available; we value your strengths and potential.
- Why this job: Make a real impact in finance while working with cutting-edge technology and data.
- Qualifications: Strong Python and C#/.NET skills, with a background in financial engineering.
The predicted salary is between 60000 - 80000 £ per year.
We’re looking for a Senior Quantitative Analyst to join our Investments Quantitative team within L&G Institutional Retirement. The Investments Quantitative team supports a wide range of functions across Investments and Institutional Retirement (including New Business, Asset Liability Management, Portfolio Management, Structuring, Finance, and Risk). The team delivers both long‑term strategic technology initiatives and tactical solutions through quantitative model and tool development, primarily using Python and .NET technologies. These solutions underpin pricing, fixed‑income portfolio construction, pension liability modelling, portfolio optimisation, risk analytics, and capital modelling.
You’ll take the lead on a range of complex projects, partnering closely with business stakeholders from initial specification through to design and implementation. You’ll be expected to challenge existing approaches, assess the ongoing validity of assumptions, and ensure solutions address the right business problems—not just deliver technical outputs.
What you’ll be doing:
- Developing and enhancing pricing models and fixed‑income portfolio construction tools
- Designing and building scalable, high‑performance systems using Python and C#/.NET
- Improving existing platforms through better engineering practices, code quality, testing, and performance optimisation
- Supporting model governance, ensuring models meet internal standards across ownership, controls, and risk
- Contributing to the design of distributed systems (microservices/serverless) and cloud‑based architectures (AWS/OpenShift)
- Working with large datasets, designing robust data models and efficient processing pipelines
- Collaborating with investment teams to support model usage, troubleshooting, and enhancements
- Driving best practices in software engineering, including testing, CI/CD, and DevOps‑enabled delivery
- Ensuring all system and model changes follow appropriate governance and IT change‑management processes
Who we’re looking for:
- Strong programming expertise in Python and C#/.NET, with a solid foundation in software engineering principles (e.g., SOLID, design patterns, clean architecture)
- Deep understanding of computer science fundamentals, including algorithms, data structures, and system design
- Strong knowledge of financial engineering concepts (e.g., stochastic calculus, derivatives pricing, interest‑rate modelling, Monte Carlo simulation, VaR)
- Experience building high‑performance, scalable systems and optimising code for efficiency
- Strong data skills, including SQL and experience structuring reliable and performant data solutions
- Familiarity with portfolio analytics, portfolio construction, and risk modelling
- Experience with modern cloud and DevOps environments (e.g., AWS, distributed systems, microservices)
- Experience with industry risk platforms (e.g., BlackRock Aladdin, State Street Alpha, SimCorp) is advantageous
- Degree in a quantitative discipline; postgraduate qualifications in financial engineering or similar are beneficial
- Strong communication skills, with the ability to explain complex technical concepts to a wide audience
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, and 26 days after 2 years’ service. There’s also the option to buy and sell holiday
- Competitive family leave
- Participation 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)
- Discounts on our own products and at a range of high‑street stores and online
- Net‑zero carbon workplaces by 2030, investing in sustainable modern offices across the UK, all designed to bring people together and elevate the in‑person experience
Additional Information:
At L&G, we believe it’s possible to generate positive returns today while helping to build a better future for all. We care passionately about outcomes rather than attendance and are 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.
Senior Quantitative Engineer - Fixed-Income Pricing & Cloud employer: Legal & General
L&G Institutional Retirement is an exceptional employer that fosters a collaborative and innovative work culture, where employees are encouraged to challenge the status quo and contribute to meaningful projects. With a strong focus on employee growth, the company offers extensive benefits including performance-related bonuses, generous holiday allowances, and a commitment to sustainability, all within a supportive environment that values flexibility and work-life balance.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Quantitative Engineer - Fixed-Income Pricing & Cloud
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python and C#. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice coding challenges and be ready to discuss your thought process. Remember, it’s not just about getting the right answer but how you approach the problem.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive and engaged with our company.
We think you need these skills to ace Senior Quantitative Engineer - Fixed-Income Pricing & Cloud
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Senior Quantitative Engineer role. Highlight your programming expertise in Python and C#/.NET, and don’t forget to mention any relevant financial engineering concepts you’re familiar with.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you’re the perfect fit for our Investments Quantitative team. Share specific examples of projects where you’ve developed pricing models or optimised systems, and how you’ve collaborated with stakeholders to deliver impactful solutions.
Showcase Your Problem-Solving Skills:In your application, emphasise your ability to challenge existing approaches and assess assumptions. We want to see how you’ve tackled complex problems in the past and how you can bring that mindset to our team.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about our company culture and values!
How to prepare for a job interview at Legal & General
✨Know Your Tech Inside Out
Make sure you brush up on your Python and C#/.NET skills. Be ready to discuss specific projects where you've used these technologies, especially in developing pricing models or optimising systems. They’ll want to see your technical prowess, so be prepared to dive deep into your coding experiences.
✨Understand Financial Engineering Concepts
Familiarise yourself with key financial engineering concepts like stochastic calculus and derivatives pricing. Be ready to explain how these concepts apply to real-world scenarios, particularly in fixed-income portfolio construction. This will show that you can bridge the gap between technical skills and business needs.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've challenged existing approaches in past roles. Think about times when you assessed assumptions or improved processes. This will demonstrate your ability to not just deliver outputs but to ensure they solve the right business problems.
✨Communicate Clearly and Confidently
Practice explaining complex technical concepts in simple terms. You’ll likely need to collaborate with various stakeholders, so being able to communicate effectively is crucial. Consider doing mock interviews with friends or colleagues to refine your delivery.
