Senior Actuarial Modelling Engineer
Job Title: Senior Actuarial Modelling Engineer
Location: London (5 days per week in office)
Salary: Up to £130,000 + benefits
Overview
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
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Develop and enhance a proprietary modelling and analytics platform, with a focus on Back End calculation engines
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Design and build robust tools, reusable data pipelines, and reliable reporting datasets
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Maintain, migrate, and modernise multi-language Legacy codebases
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Work closely with actuarial, risk, and business teams to understand requirements and deliver effective long-term solutions
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Ensure development progress is clearly tracked and documented
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Implement testing, documentation, and controls to reduce operational and key-person risk
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Contribute to best practices in software engineering, performance, and reliability
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Support the wider engineering team with technical input and ad-hoc development work
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Build strong domain knowledge in insurance, reinsurance, and quantitative modelling
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Stay current with modern software engineering tools, techniques, and frameworks
Skills and Experience
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Degree in Software Engineering, Mathematics, Physics, or a related quantitative field
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Strong experience working in insurance, reinsurance, or another quantitative financial environment
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Proven experience working with SQL and large datasets (Microsoft SQL Server, Azure or similar preferred)
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Strong experience using version control in a collaborative environment (Git preferred)
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Experience working with high-performance, parallelised, or distributed computing environments
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Experience with Julia strongly preferred; Python, R, or MATLAB also relevant
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Experience using computational notebooks (eg Jupyter) for analysis and prototyping
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Strong grounding in numerical methods, statistics, linear algebra, or algorithmic development
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Experience delivering production systems in an agile or iterative development environment
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Strong communication skills and ability to work with both technical and non-technical stakeholders
Working Environment
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Senior, hands-on engineering role in a collaborative and technically strong team
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Fast-moving environment where engineering quality and long-term maintainability are valued
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Opportunity to work on complex modelling and analytics systems with real business impact