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For Companies At a Glance
- Tasks: Design and deliver robust software for a bespoke analytical platform in insurance.
- Company: Global specialty insurance and reinsurance organisation with a focus on innovation.
- Benefits: Competitive salary up to £130,000 plus benefits and career growth opportunities.
- Why this job: Make a real impact in a fast-paced environment with cutting-edge technology.
- Qualifications: Degree in Software Engineering or related field; experience in quantitative finance preferred.
- Other info: Collaborative team culture with a focus on engineering quality and maintainability.
The predicted salary is between 78000 - 130000 £ per year.
A global specialty insurance and reinsurance organisation is seeking a Senior Quantitative Software Engineer to join a highly technical analytics and development team. The team builds and maintains a bespoke analytical platform that supports pricing, loss modelling, and portfolio management across the business.
This is a senior, hands-on engineering role focused on designing and delivering robust software, high-performance calculation engines, and scalable data pipelines in a collaborative, cross-functional environment.
The Role
Reporting to the Head of Analytical Software Development, you will be responsible for designing, implementing, and maintaining software and processes that support a proprietary modelling ecosystem. The role requires close collaboration with actuarial, exposure management, risk, and project teams to translate complex requirements into efficient, production-grade solutions.
Key Responsibilities
- Develop and enhance a proprietary modelling and analytics platform, with a focus on Back End calculation engines
- Design and build robust tools, reusable data pipelines, and reliable reporting datasets
- Maintain, migrate, and modernise multi-language Legacy codebases
- Work closely with actuarial, risk, and business teams to understand requirements and deliver effective long-term solutions
- Ensure development progress is clearly tracked and documented
- Implement testing, documentation, and controls to reduce operational and key-person risk
- Contribute to best practices in software engineering, performance, and reliability
- Support the wider engineering team with technical input and ad-hoc development work
- Build strong domain knowledge in insurance, reinsurance, and quantitative modelling
- Stay current with modern software engineering tools, techniques, and frameworks
Skills and Experience
- Degree in Software Engineering, Mathematics, Physics, or a related quantitative field
- Strong experience working in insurance, reinsurance, or another quantitative financial environment
- Proven experience working with SQL and large datasets (Microsoft SQL Server, Azure or similar preferred)
- Strong experience using version control in a collaborative environment (Git preferred)
- Experience working with high-performance, parallelised, or distributed computing environments
- Experience with Julia strongly preferred; Python, R, or MATLAB also relevant
- Experience using computational notebooks (eg Jupyter) for analysis and prototyping
- Strong grounding in numerical methods, statistics, linear algebra, or algorithmic development
- Experience delivering production systems in an agile or iterative development environment
- Strong communication skills and ability to work with both technical and non-technical stakeholders
Working Environment
Senior, hands-on engineering role in a collaborative and technically strong team. Fast-moving environment where engineering quality and long-term maintainability are valued. Opportunity to work on complex modelling and analytics systems with real business impact.
Senior Actuarial Modelling Engineer employer: Spencer Rose Ltd
Contact Detail:
Spencer Rose Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Actuarial Modelling Engineer
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with professionals on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Prepare for those interviews! Research the company and its projects, especially in actuarial modelling. Be ready to discuss your experience with SQL, data pipelines, and any relevant programming languages like Julia or Python.
✨Tip Number 3
Show off your skills! If you’ve worked on relevant projects, create a portfolio or GitHub repository showcasing your work. This gives potential employers a tangible sense of what you can bring to the table.
✨Tip Number 4
Don’t forget to apply through our website! We love seeing candidates who are genuinely interested in joining our team. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace Senior Actuarial Modelling Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Actuarial Modelling Engineer role. Highlight your experience with SQL, large datasets, and any relevant programming languages like Julia or Python. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about actuarial modelling and how your background makes you a great fit for our team. Don’t forget to mention any collaborative projects you've worked on!
Showcase Your Projects: If you've worked on any relevant projects, whether in a professional setting or as personal endeavours, make sure to include them. We love seeing practical applications of your skills, especially in high-performance computing or data pipelines.
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It helps us keep track of applications and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at Spencer Rose Ltd
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, especially SQL and Julia. Brush up on your experience with large datasets and be ready to discuss specific projects where you’ve used these skills.
✨Showcase Your Problem-Solving Skills
Prepare to talk about how you've tackled complex problems in previous roles. Think of examples where you designed or improved software solutions, particularly in a collaborative environment. This will demonstrate your hands-on experience and ability to work cross-functionally.
✨Understand the Business Context
Familiarise yourself with the insurance and reinsurance sectors. Being able to discuss how your technical skills can impact pricing, loss modelling, and portfolio management will show that you understand the bigger picture and can contribute effectively.
✨Ask Insightful Questions
Prepare thoughtful questions about the team’s current projects, challenges they face, and their approach to software development. This not only shows your interest but also helps you gauge if the company culture aligns with your values.
