This is your opportunity to join AXIS Capital - a trusted global provider of specialty lines insurance and reinsurance. We stand apart for our outstanding client service, intelligent risk taking and superior risk adjusted returns for our shareholders. We also proudly maintain an entrepreneurial, disciplined and ethical corporate culture. All qualified applicants will receive consideration for employment without regard to any protected characteristic, including age, color, disability, ethnicity, gender identity, marital status, national origin, pregnancy, race, religion, sex, sexual orientation, veteran status, or any basis prohibited by the laws that govern its operations.This is an opportunity to use data and analytics to make a meaningful difference to one of the most important decision-making areas at AXIS: Reserving. In this role, you will help the Reserving team turn complex data into clear, trusted insight so they can better understand trends, explain movements, and make confident decisions.In this role, you will help us:Make reserving decisions easier to understand by improving access to consistent, timely, and well-defined data.Bring important trends to the surface, helping the team understand what is changing, why it matters, and where more analysis may be needed.Reduce manual effort and improve the way reserving analysis is produced, shared, and used across the business.You will help shape how reserving analytics evolves at AXIS, building practical insight capabilities that make it easier to understand portfolio movements, compare views across business areas, monitor key indicators, and support high-quality discussions with senior stakeholders.You will work closely with colleagues across Reserving, Finance, Actuarial, Claims, Underwriting, and Data & Analytics to understand what the Reserving team needs and turn those needs into useful dashboards, datasets, self-service tools, and repeatable insight products. You will also partner with technical teams to make sure reserving data is trusted, accessible, clearly defined, and fit for decision-making.Help define the reserving analytics roadmap, making sure the work we prioritise delivers clear value for the Reserving team and the business.Create Better Data Products and Insight ToolsDesign and deliver dashboards, datasets, and self-service tools that give the Reserving team clearer views of loss development, claims experience, exposure changes, prior-year development, and other important indicators.Replace static, manual reporting with more interactive insight solutions that help users explore trends, compare results, test assumptions, and identify areas for deeper review.Help identify, explain and monitor reserve signals, including AvE, PYD, claims emergence, large loss activity, exposure/mix changes and reserve diagnostics.Explore Modern Analytics and AIWork with actuarial, data science, and AI colleagues to explore where modern analytics can support reserving analysis, scenario exploration, anomaly detection, and clearer explanation of key drivers.Promote practical and responsible use of AI and analytics, with a focus on improving speed, transparency, and confidence while maintaining strong governance and actuarial judgement.Inspire Through InsightCreate clear, intuitive visualizations that help colleagues understand reserving movements, emerging trends, portfolio changes, and areas of uncertainty.Help improve how reserving insights are communicated so they are concise, consistent, and useful for actuarial, finance, management, and business discussions.Set Standards for ExcellenceHelp define clear standards for reserving metrics, data definitions, reporting, reconciliation, and interpretation of key indicators.Support high-quality, governed outputs that align with enterprise data standards, actuarial controls, and financial reporting needs.Collaborate Across D&ACollaborate with architecture, engineering, governance, finance, actuarial, claims, and underwriting colleagues so reserving needs are considered from the data foundation through to the final insight experience.Look for opportunities to simplify processes, reduce manual data wrangling, and build reusable insight capabilities that teams can rely on over time.About YouRequired Experience & SkillsExperience in data, analytics, actuarial, finance, or a related insurance or reinsurance role.Experience helping to design, improve, or deliver data and analytics solutions for business users.A deep understanding of insurance or reinsurance data, including how claims, policy, exposure, premium, underwriting, finance, and actuarial information can be used to support analysis.Strong communication skills, including the ability to make complex data and analysis clear, practical, and actionable.Experience creating dashboards, datasets, visualizations, or self-service tools that help business users understand performance, trends, and drivers.Curiosity about AI and emerging technologies, and an interest in applying them to real business problems in a practical and responsible way.Familiarity with data visualization tools such as Power BI, or similar platforms.Preferred QualificationsExperience working with reserving, actuarial, finance, claims, underwriting, or performance reporting teams.Some knowledge of reserving processes, actuarial triangles, loss development, claims trends, or financial close reporting.Hands-on experience with Power BI and other visualization platforms.What Really Sets You ApartYou enjoy turning complex data into insight that people can trust, understand, and use.You are excited by the chance to help modernize reserving analytics at AXIS and build tools that improve confidence, transparency, and business understanding.Role FactorsIn this role, you will typically be required to:Attend your local office at least three (3) days per week to meet and build relationships with colleagues and the wider business.Engage in company activities to grow your network and build a strong team culture.In addition, you will be offered competitive target incentive compensation, with awards based on overall corporate and individual performance. On top of this, you will be eligible for a comprehensive and competitive benefits package which includes medical plans for you and your family, health and wellness programs, retirement plans, tuition reimbursement, paid vacation, and much more. London - ScalpelType: Full time
Analysis and Data Lead in London employer: AXIS Capital
AXIS Capital is an excellent employer, offering a dynamic work environment in the heart of London where innovation and compliance go hand in hand. With a strong focus on employee development, we provide ample opportunities for growth and advancement within the insurance sector, alongside a collaborative culture that values strong relationships and teamwork. Our hybrid working model ensures flexibility, allowing you to balance your professional and personal life effectively while contributing to meaningful conduct risk initiatives.
