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- Tasks: Join a team to develop and maintain a bespoke modelling and analytics platform.
- Company: Global specialty insurance and reinsurance organisation with a collaborative culture.
- Benefits: Competitive salary, hands-on experience, and exposure to high-impact analytical platforms.
- Why this job: Make a real impact by building tools for pricing and portfolio management.
- Qualifications: Degree in a quantitative discipline and 3+ years' experience in data-intensive environments.
- Other info: Collaborative environment with opportunities to work closely with actuarial and risk specialists.
The predicted salary is between 36000 - 60000 £ per year.
A global specialty insurance and reinsurance organisation is seeking an Analytics Platform Engineer to join a technical actuarial analytics development team. The team builds and maintains a bespoke modelling and analytics platform used to support pricing, loss modelling, and portfolio management across the business.
This role is suited to someone with strong technical and mathematical skills who enjoys building tools, working with large datasets, and collaborating with actuarial and risk teams to deliver practical analytical solutions.
The Role
Reporting to a Senior Engineer, you will contribute to the design, implementation, and maintenance of software and processes that support a proprietary modelling platform. You will work closely with actuarial, exposure management, and project teams to translate requirements into reliable, maintainable systems and data pipelines.
Key Responsibilities
- Contribute to the development of a proprietary modelling and analytics platform, particularly the Back End calculation components
- Design and develop tools, reusable data pipelines, and datasets used in reporting and analysis
- Work with actuarial, risk, and business teams to understand requirements and deliver effective solutions
- Maintain and improve existing and Legacy codebases
- Track development progress and maintain clear documentation
- Implement testing and controls to reduce operational risk
- Support the wider team with technical and analytical tasks as required
- Build domain knowledge in insurance, reinsurance, and modelling
- Stay current with modern engineering tools and practices
Skills and Experience
- Degree in Software Engineering, Mathematics, Physics, or a related quantitative discipline
- Around 3+ years' experience in insurance, reinsurance, or another data-intensive environment
- Experience working with SQL and large datasets (Microsoft SQL Server, Azure or similar preferred)
- Experience working with version control in a team environment (Git preferred)
- Exposure to parallelised or distributed computing environments
- Experience implementing mathematical or statistical methods in production systems
- Experience with Julia, Python, R, or similar languages
- Familiarity with actuarial or risk concepts is beneficial
- Ability to work in a collaborative, fast-paced environment
Working Environment
Collaborative team working on complex modelling and analytics systems. Opportunity to work closely with actuarial and risk specialists. Exposure to high-impact analytical platforms used across the business.
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 Actuarial Modelling Engineer in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the actuarial and analytics fields on LinkedIn. Join relevant groups, attend meetups, and don’t be shy about asking for informational interviews. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving SQL, Python, or any modelling tools you've used. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and understanding actuarial concepts. Practice common interview questions and consider mock interviews with friends or mentors to build confidence.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Keep an eye on our job postings and make sure your application stands out by tailoring it to the specific role.
We think you need these skills to ace Actuarial Modelling Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Actuarial Modelling Engineer role. Highlight your technical skills, experience with large datasets, and any relevant projects you've worked on. We want to see how you can contribute to our bespoke modelling platform!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about actuarial analytics and how your background fits the role. We love seeing enthusiasm and a clear understanding of what we do at StudySmarter.
Showcase Your Technical Skills: Don’t forget to mention your experience with SQL, Python, or any other relevant programming languages. If you've worked with version control systems like Git, make sure to include that too! We’re looking for someone who can hit the ground running.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep everything organised and ensures your application gets the attention it deserves. We can't wait to see what you bring to the table!
How to prepare for a job interview at Spencer Rose Ltd
✨Know Your Tech Inside Out
Make sure you brush up on your technical skills, especially in SQL and programming languages like Python or R. Be ready to discuss how you've used these tools in past projects, as well as any experience with large datasets and version control systems like Git.
✨Understand the Business Context
Familiarise yourself with the insurance and reinsurance industry, particularly how actuarial modelling impacts pricing and risk management. This will help you connect your technical skills to real-world applications during the interview.
✨Prepare for Problem-Solving Questions
Expect to tackle some technical challenges or case studies during the interview. Practice explaining your thought process clearly and logically, as this will demonstrate your analytical skills and ability to work collaboratively with teams.
✨Show Your Collaborative Spirit
Since the role involves working closely with various teams, be prepared to share examples of how you've successfully collaborated in the past. Highlight your communication skills and your ability to translate complex technical concepts into understandable terms for non-technical stakeholders.
