Graduate Data Analyst

Convex occupies a unique position in the insurance industry, combining unrivalled experience, reputation and a legacy free balance sheet. We offer international specialty insurance and reinsurance, along with digital risk management solutions, through our operations in Bermuda, London, Europe and the US.

We are currently looking to hire 2025 graduates for the the Portfolio Optimisation team. The Portfolio Optimisation (PO) function creates competitive advantage through industry leading decision making enabled by comprehensive data and cross functional analytics. The MI & Insights team is looking to hire a Graduate Data & Insights Analyst to join the team in September 2025 to help utilize data & analytics to inform and influence better underwriting decisions, and which complements and supports Convex’s strategic vision.

Key Responsibilities

• Aggregation, analysis & interpretation of the data captured from across the business (e.g., from Underwriters across Insurance & Reinsurance)
• Support the business planning process by conducting analyses to influence decision-making within underwriting management and collating & validating key assumptions
• Conduct market analysis to spot trends and themes occurring in the market as well as peer benchmarking
• Build tools & create dashboards to replay back the information in a technical yet simple fashion to be used in decision making
• Maintenance of the tools & dashboards, including continuous enhancements
• Support and contribute to various strategic projects across Convex and within PO
• Practice excellent interpersonal skills to liaise with business functions
• Provide /coordinate additional administrative support as business development and maturity requires
• Liaise with key stakeholders across the business

Skills Knowledge and Expertise

• Strong analytical & numerical capabilities
• Strong data skills (logic and structure)
• Excellent verbal and written communication skills
• Possesses a continuous improvement mindset
• Proven ability to solve problems and identify practical solutions