Join to apply for the Analytics Analyst role at Convex Insurance
Location: London, UK
Compensation: £35,000 / year
Application Deadline: 6 January 2026
Department: Graduate & School Leaver Programme
Description
The Analytics function creates competitive advantage through industry‑leading decision making enabled by comprehensive data and cross‑functional analytics. Convex is looking to hire an inquisitive, dynamic graduate who will rotate through a selection of the 9 different teams within Analytics, mastering the fundamentals across multiple disciplines. During your first two years, you would most likely rotate across 2‑4 of the 9 core Analytics teams as your “home‑team”, though you will also work on multidisciplinary projects that touch all Analytics functions. While some of your home‑teams will be predetermined, a key benefit of this programme is its flexibility, as your subsequent placements will be driven by your particular skillset, interests, and connections formed during the programme. Your development could focus on anything from actuarial and statistical techniques for analysing stochastic model output, negotiations and commercial acumen at the coalface of reinsurance purchasing, or data science and experimentation with new technologies in our Innovation team (…and much more in between, see below!). We offer full support should you choose to take a relevant qualification route, such as Actuarial exams or CII. This role is ideally suited for a graduate with a high numerical aptitude who thrives on complex problem‑solving, embraces change, and is ready to build a world‑class analytical foundation for a long‑term career in the industry.
Key Responsibilities
Impact Analytics (Pricing)
- Supporting Underwriters on ‘case pricing’ of individual deals as they come in
- Analyzing aggregated loss data to support portfolio‑level analysis, and engaging with Underwriters on resultant recommendations
- Setting technical functionality, methods and parameters of the Pricing models
Capital Modelling
- Developing the technical functionality (modeling method and calibrations) of the capital model
- Manipulating large simulated datasets to provide knowledge and insight to stakeholders around the business
Ceded Re
- Demonstrating the adequacy of the outwards RI programme and supporting the outwards RI placement process
Strategic Insights
- Aggregate, analyze, and interpret data from across the business and the wider market to spot trends, conduct peer benchmarking, and inform strategy.
- Build and maintain decision‑support tools and dashboards, ensuring complex technical information is presented simply for effective business use and continuous enhancement.
Infrastructure and Engineering
- Hands‑on exposure supporting multidisciplinary teams (“squads”) in developing, maintaining, and enhancing data and AI applications, including the Data Universe. This includes learning core Data Modelling, Data Engineering, Data Science and analysis techniques used to ensure data quality and insight accessibility.
Exposure Management
- Support pre‑bind pricing workflows with Underwriting teams to interpret cat‑model and exposure outputs.
- Support on monthly roll‑ups of bound portfolios and the portfolio insights that can be gleaned.
- Research projects on pertinent topics such as Climate change, cyber, and AI.
Innovation
- Use new technology including AI and data science to solve business problems and test new ideas.
Product
- Drive the strategy around, creation and evolution of Analytics products using human‑centred design and agile methods to empower underwriters and promote data‑driven decision making.
Delivery
- Focusing on the ‘How’ for delivering on our commitments to the business, assist Delivery Managers and Scrum Masters within assigned squads to ensure deliverables align with business outcomes and to improve the team’s overall Agile maturity.
Skills, Knowledge and Expertise
- Undergraduate or Masters degree in a statistical or numerical based subject (e.g. Actuarial, Economics, Physics, etc.)
- Ability to communicate effectively with a technical and non‑technical audience, both verbally and in writing
- Enjoys working in a team on a variety of topics and projects
- Naturally curious with an interest in topics that directly impact Convex and the market we operate in.
- Genuine interest in using data and technology to improve processes and decision‑making. Coding experience is a great addition but not required.
Benefits
- Annual Performance Bonus
- 30 days Annual Leave
- 3 days of Volunteer Leave each year
- Birthday Leave
- £1,300 to spend on learning & wellbeing
- 10% Employer Pension Contribution
- Private Health Insurance Medical & Dental Cover
- Full Support for Professional Qualifications (IFoA, CII, CFA, etc…)
Seniority level
Entry level
Employment type
Full-time
Job function
Business Development and Sales
Industries
Insurance
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