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- Tasks: Dive into data analytics, supporting teams and driving insights across various projects.
- Company: Join Convex Insurance, a leader in innovative analytics within the insurance industry.
- Benefits: Enjoy competitive salary, generous leave, learning budget, and health coverage.
- Why this job: Kickstart your career with hands-on experience in a dynamic, flexible environment.
- Qualifications: Degree in a numerical field; curiosity and teamwork are key!
- Other info: Great opportunities for professional growth and development.
The predicted salary is between 28000 - 42000 Ā£ per year.
Join to apply for the Analytics Analyst role at Convex Insurance.
Location: London, UK
Compensation: Ā£35,000 / year
Application Deadline: 6 January 2026
Department: Graduate & School Leaver Programme
Description: The Analytics function creates competitive advantage through industryāleading decision making enabled by comprehensive data and crossāfunctional 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 2ā4 of the 9 core Analytics teams as your "homeāteam", though you will also work on multidisciplinary projects that touch all Analytics functions. While some of your homeāteams 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.
Key Responsibilities:
- Impact Analytics (Pricing): Supporting Underwriters on 'case pricing' of individual deals as they come in. Analyzing aggregated loss data to support portfolioālevel 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 decisionāsupport tools and dashboards, ensuring complex technical information is presented simply for effective business use and continuous enhancement.
- Infrastructure and Engineering: Handsāon 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 preābind pricing workflows with Underwriting teams to interpret catāmodel and exposure outputs. Support on monthly rollāups 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 humanācentred design and agile methods to empower underwriters and promote dataādriven 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 nonātechnical 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 decisionāmaking. 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
- Ā£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
Analytics Analyst in London employer: Convex Insurance
Contact Detail:
Convex Insurance Recruiting Team
StudySmarter Expert Advice š¤«
We think this is how you could land Analytics Analyst in London
āØTip Number 1
Network like a pro! Reach out to current employees at Convex Insurance on LinkedIn. Ask them about their experiences and any tips they might have for landing the Analytics Analyst role. Personal connections can make a huge difference!
āØTip Number 2
Prepare for the interview by brushing up on your analytical skills. Be ready to discuss how you would approach real-world problems using data. Show them your thought process and how you can contribute to their innovative projects.
āØTip Number 3
Donāt forget to showcase your curiosity! During interviews, share examples of how you've tackled complex problems or learned new technologies. Convex loves inquisitive minds, so let your passion shine through!
āØTip Number 4
Apply through our website for a smoother process! Itās the best way to ensure your application gets noticed. Plus, youāll find all the latest updates and resources to help you prepare for the role.
We think you need these skills to ace Analytics Analyst in London
Some tips for your application š«”
Tailor Your CV: Make sure your CV is tailored to the Analytics Analyst role. Highlight relevant skills and experiences that match the job description, especially your numerical aptitude and problem-solving abilities. We want to see how you can bring value to our team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to express your genuine interest in the role and the company. Share specific examples of your experiences that align with the responsibilities mentioned in the job description. Let us know why you're excited about joining Convex!
Showcase Your Analytical Skills: Since this role is all about analytics, make sure to showcase any relevant projects or coursework that demonstrate your analytical skills. Whether it's data analysis, modelling, or using technology to solve problems, we want to see your passion for data-driven decision-making!
Apply Through Our Website: Don't forget to apply through our website! Itās the best way for us to receive your application and ensures youāre considered for the role. Plus, it shows us youāre serious about joining our team at Convex!
How to prepare for a job interview at Convex Insurance
āØKnow Your Numbers
As an Analytics Analyst, you'll be dealing with data all the time. Brush up on your numerical skills and be ready to discuss any relevant statistical methods or models you've learned about during your studies. Being able to explain complex concepts in simple terms will impress your interviewers.
āØShow Your Curiosity
Convex is looking for someone inquisitive and dynamic. Prepare some thoughtful questions about the companyās analytics processes or recent projects. This shows that youāre genuinely interested in the role and eager to learn more about how you can contribute.
āØHighlight Teamwork Experience
Since the role involves working in multidisciplinary teams, be ready to share examples of how you've successfully collaborated with others. Discuss any group projects from your studies or internships where you played a key role in achieving a common goal.
āØFamiliarise Yourself with Industry Trends
Stay updated on current trends in analytics and the insurance industry, especially topics like AI and climate change. Mentioning these during your interview will demonstrate your awareness of the market and your enthusiasm for applying data-driven insights to real-world problems.
