At a Glance
- Tasks: Develop and optimise a complex analytical engine for pricing and risk modelling.
- Company: Global specialty insurance and reinsurance business with a sophisticated analytics team.
- Benefits: £150,000 salary plus bonus and benefits.
- Other info: Collaborate with diverse teams and enjoy excellent career growth opportunities.
- Why this job: Join a fast-paced environment and make an impact on cutting-edge analytics technology.
- Qualifications: Strong software engineering and mathematical background; experience in Julia, Python, or C++.
The predicted salary is between 150000 - 150000 € per year.
This is an outstanding opportunity for a Senior Quantitative Software Engineer to join a highly sophisticated analytics engineering team within a global specialty insurance and reinsurance business.
We are looking for an experienced engineer with a strong mathematical and computational background to work on the core analytical engine that underpins pricing, risk modelling, and portfolio management capabilities across the business. This is not a traditional Back End engineering role focused on APIs or web services. Instead, the position centres around the development, optimisation, and evolution of a highly complex numerical modelling platform used directly by actuarial and underwriting teams.
The environment is highly technical, fast-paced, and intellectually rigorous, offering the opportunity to work on large-scale computational systems alongside engineers, quantitative developers, and analytics specialists.
Key Responsibilities- Develop, enhance, and optimise a large-scale analytical calculation engine used for pricing and portfolio analytics.
- Work on complex numerical and mathematical software used within underwriting and actuarial workflows.
- Refactor and modernise Legacy modelling systems, improving scalability, maintainability, and performance.
- Implement high-performance and distributed computing solutions across large analytical workloads.
- Collaborate closely with actuarial, analytics, and engineering teams to translate complex business requirements into robust technical solutions.
- Contribute to architectural decisions with a focus on long-term engineering quality and reduction of technical debt.
- Improve computational efficiency, system reliability, and processing performance across the wider analytics platform.
- Maintain strong engineering standards including testing, documentation, and version control best practices.
- Support the ongoing evolution of the organisation's proprietary analytics technology stack.
- Strong software engineering experience within quantitative, scientific computing, modelling, or analytical environments.
- Excellent mathematical foundations including numerical methods, linear algebra, algorithms, and statistics.
- Strong programming experience in Julia, Python, C++, MATLAB, or similar computational languages.
- Experience developing or optimising complex modelling engines, simulation platforms, or analytical software systems.
- Strong understanding of performance optimisation, parallel computing, and distributed systems.
- Experience working with large datasets and SQL-based technologies.
- Strong software engineering fundamentals including testing, maintainability, and scalable system design.
- Experience working within highly complex, enterprise-scale technical environments.
- Ability to communicate effectively with both technical and non-technical stakeholders.
- Experience within insurance, reinsurance, quantitative finance, hedge funds, or asset management environments.
- Background in scientific computing, computational physics, engineering simulation, or quantitative development.
- Exposure to actuarial or risk modelling platforms.
- Experience with high-performance computing (HPC) environments.
- Advanced academic background in Mathematics, Physics, Engineering, Computer Science, or related disciplines.
If this sounds like the role for you, APPLY and a consultant will be in touch.
Senior Quantitative Software Engineer in London employer: Spencer Rose Ltd
Join a leading global specialty insurance and reinsurance business in London, where you will be part of a dynamic and intellectually stimulating environment. The company fosters a culture of innovation and collaboration, offering exceptional benefits, competitive salaries, and opportunities for professional growth within a highly technical team. With a focus on cutting-edge analytics and a commitment to employee development, this role provides a unique chance to make a significant impact in the field of quantitative software engineering.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Quantitative Software Engineer in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage with professionals on LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.
✨Tip Number 2
Prepare for those interviews! Brush up on your technical skills and be ready to discuss your past projects in detail. We recommend practising common interview questions and even doing mock interviews with friends or mentors to boost your confidence.
✨Tip Number 3
Showcase your skills through a portfolio! If you’ve worked on any relevant projects, make sure to highlight them. We suggest creating a GitHub repository or a personal website where you can display your work and demonstrate your expertise in quantitative software engineering.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always on the lookout for talented individuals like you to join our team!
We think you need these skills to ace Senior Quantitative Software Engineer in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the job description. Highlight your strong mathematical and computational background, and don’t forget to mention any experience with large-scale analytical systems!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for the Senior Quantitative Software Engineer role. Talk about your passion for developing complex numerical modelling platforms and how you can contribute to our analytics team.
Showcase Your Technical Skills:We want to see your programming prowess! Make sure to list your experience with languages like Julia, Python, or C++. If you've worked on performance optimisation or distributed systems, shout about it in your application!
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and get you in touch with a consultant who can help guide you through the process.
How to prepare for a job interview at Spencer Rose Ltd
✨Know Your Maths and Coding
Brush up on your mathematical foundations and programming skills, especially in Julia, Python, or C++. Be ready to discuss numerical methods and algorithms, as these will likely come up during technical questions.
✨Understand the Business Context
Familiarise yourself with the insurance and reinsurance industry. Knowing how your role impacts pricing and risk modelling will help you connect your technical skills to the business needs, making you a more compelling candidate.
✨Prepare for Technical Challenges
Expect to tackle complex problems during the interview. Practice coding challenges that focus on optimisation and performance, as well as discussing your past experiences with large datasets and distributed systems.
✨Communicate Clearly
Be prepared to explain your thought process clearly, especially when discussing technical solutions. Remember, you’ll need to communicate effectively with both technical and non-technical stakeholders, so practice articulating your ideas simply and concisely.
