Catastrophe Risk Analyst – Treaty – 28628

Emerald Group Ltd; London; On-site; GBP 45,000 - 65,000; Full time

Job summary

A leading insurance firm in London seeks a Catastrophe Risk Analyst to maintain relationships with underwriters and provide advanced risk analytics. Candidates must have experience in catastrophe modeling, proficient SQL skills, and familiarity with large datasets. This is an opportunity to work in a dynamic environment and contribute to crucial decision-making processes.

Qualifications

• Catastrophe Modelling or Reinsurance experience preferred.
• Intermediate/Advanced MS SQL skills required.
• Experience with large datasets in Excel and SQL.

Responsibilities

• Maintain relationships with underwriters for risk analytics.
• Provide market-leading analysis using Moody's RMS.
• Collaborate on complex risks outside vendor models.

Skills

Catastrophe Modelling experience

Reinsurance experience

MS SQL skills

Excel dataset manipulation

Microsoft Power BI

Programming languages familiarity (VBA, .NET, R, Python)

Tools

Moody’s RMS

Microsoft Power BI

Job description

Social network you want to login/join with:

Catastrophe Risk Analyst – Treaty – 28628, London

Client:

Emerald Group Ltd

Location:

London, United Kingdom

Job Category:

Other

EU work permit required:

Yes

Job Reference:

6a5b067a663d

Job Views:

30

Posted:

12.08.2025

Expiry Date:

26.09.2025

Job Description:

Overview

Key Duties (Including but not limited to):

• Maintain relationships with underwriters to integrate underwriting and exposure management frameworks; deliver analytics confidently and explain their impact on risk selection.
• Utilize Moody’s RMS and other tools to provide market-leading analysis on individual accounts and portfolios.
• Collaborate with underwriters to make decisions on complex risks outside the scope of vendor models, including non-modeled risks.

Experience required:

• Preferred: Catastrophe Modelling experience; Reinsurance experience is highly desirable; RMS experience advantageous.
• Intermediate/Advanced MS SQL skills; ability to build, design, and manipulate queries to enhance processes.
• Strong skills in manipulating large datasets with Excel and SQL.
• Experience with Microsoft Power BI is desirable.
• Familiarity with programming languages such as VBA, .NET, R, or Python is an advantage.