Deputy Class Underwriter - Political Violence (Flexible)

Chaucer Syndicates Ltd; Greater London; On-site; GBP 65,000 - 90,000; Full time

Job summary

Chaucer Syndicates Ltd is recruiting a Deputy Class Underwriter for Political Violence to support underwriting and modelling activities in London. The role involves assisting with class underwriters, coordinating with Risk Admin, and maintaining risk history while handling special projects.

The candidate should have Lloyd's market / syndicate experience, strong mathematical and data analytics skills, and solid Excel expertise.

Qualifications

• Lloyd’s Market Box / Syndicate experience.
• Other insurance experience.
• Mathematics, data and analytical skills.
• Intermediate Excel, Charms and Charisma.
• Understanding of the risks being taken.
• Able to communicate with different levels and is adaptable.
• Works as part of a team.

Responsibilities

• Supportive role to Class and other Underwriters in underwriting and management of the account.
• Coordinate and quality control with Risk Admin.
• Model PV risks.
• Liaise with Credit control department.
• Prepare and monitor peer review meetings.
• Maintain risk history including organisation and filing.
• Assist with special projects.
• Keep aggregate exposure records.
• Prepare statistics.
• Assist other PV Class underwriters as appropriate.
• Assist PV Unit Head with management data monitoring.

Skills

Lloyd's Market Box

Syndicate Experience

Other insurance experience

Mathematics

Data and Analytical Skills

Excel

Charms and Charisma

Understanding of the risks

Communication across levels

Team player

Education

ACII qualification

Associateship goal

Job description

Chaucer Syndicates Ltd is recruiting a Deputy Class Underwriter for Political Violence to support underwriting and modelling activities in London. The role involves assisting with class underwriters, coordinating with Risk Admin, and maintaining risk history while handling special projects.

The candidate should have Lloyd's market / syndicate experience, strong mathematical and data analytics skills, and solid Excel expertise.