Aggregation & Catastrophe Risk Analytics Specialist

CO1001 Corporation of Lloyd’s; Greater London; On-site; GBP 45,000 - 65,000; Full time

Job summary

Lloyd's Aggregation Analyst role in London focuses on analyzing catastrophe exposure and reinsurance analytics to provide insight for senior stakeholders. You will help quantify market risk, monitor exposures and contribute to reporting that informs strategic decision-making across Lloyd's market.

The role emphasises strong data analysis, coding and communication skills, with experience in SQL/R and a numerate background.

Qualifications

• A degree in a numerate, scientific or related discipline, or equivalent experience solving complex analytical challenges.
• Experience using statistical software and analytical techniques.
• Strong coding and data analysis skills; able to communicate complex information clearly.

Responsibilities

• Analyze exposure and catastrophe data from syndicates across Lloyd's market.
• Support development and maintenance of Lloyd's in-house catastrophe model.
• Monitor and report on catastrophe risk at syndicate and market levels.
• Produce internal and external risk reports for regulatory and stakeholder use.
• Assess outwards reinsurance arrangements and quantify associated market risks.
• Benchmark syndicate exposures and identify emerging trends.
• Collaborate with teams to evaluate risk management and reinsurance strategies.

Skills

Statistical analysis

Coding and data analysis

SQL

R

Communication

Problem solving

Insurance knowledge

Education

Numerate or scientific degree

Tools

SQL

R

Job description

Lloyd's Aggregation Analyst role in London focuses on analyzing catastrophe exposure and reinsurance analytics to provide insight for senior stakeholders. You will help quantify market risk, monitor exposures and contribute to reporting that informs strategic decision-making across Lloyd's market.

The role emphasises strong data analysis, coding and communication skills, with experience in SQL/R and a numerate background.