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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 technical focus.
- Benefits: Competitive salary up to £130,000 plus benefits and career growth opportunities.
- Why this job: Make a real impact on complex modelling and analytics systems.
- Qualifications: Degree in Software Engineering or related field; experience in quantitative finance preferred.
- Other info: Collaborative environment 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 in London 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 in London
✨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 by brushing up on your technical skills and understanding the latest trends in actuarial modelling. Practice common interview questions and be ready to showcase your problem-solving abilities.
✨Tip Number 3
Don’t just apply anywhere; focus on companies that align with your values and career goals. Use our website to find roles that excite you and tailor your approach to each one.
✨Tip Number 4
Follow up after interviews! A quick thank-you email can go a long way in keeping you top of mind. Show your enthusiasm for the role and reiterate why you’re a great fit for their team.
We think you need these skills to ace Senior Actuarial Modelling Engineer in London
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. Keep it concise but impactful – we love a good story!
Showcase Your Projects: If you've worked on any relevant projects, make sure to mention them in your application. Whether it's a personal project or something from your previous job, we want to see how you've applied your skills in real-world scenarios.
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you'll be able to keep track of your application status. Plus, we love seeing applications come directly from our site!
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 quantitative environment. This will demonstrate your ability to deliver effective long-term solutions.
✨Understand the Business Context
Familiarise yourself with the insurance and reinsurance sectors. Being able to speak knowledgeably about how your technical skills can impact pricing, loss modelling, and portfolio management will set you apart from other candidates.
✨Communicate Clearly and Collaboratively
Since this role involves working with both technical and non-technical teams, practice explaining complex concepts in simple terms. Highlight your experience in collaborative environments and how you’ve successfully communicated with diverse stakeholders.
