Catastrophe Modelling Analyst (Reinsurance) – 27732

Emerald Group Ltd; London; On-site; GBP 40,000 - 60,000; Full time

Job summary

A leading company in the insurance sector seeks a candidate to provide comprehensive modelling output and support risk management strategies. The role requires strong financial acumen and experience in risk analytics modelling while acting as a key contact for stakeholders and underwriters.

Qualifications

• Strong financial and commercial acumen.
• Experiences in risk analytics modelling.
• Knowledge of the (re)insurance industry.

Responsibilities

• Provide modelling output to stakeholders throughout the pricing process.
• Assist with internal and external reporting activities.
• Support risk management strategies aligned with business goals.

Skills

Financial acumen

Risk analytics

Data management

Modelling

Communication

Data visualization

Tools

RMS RiskLink

RMS Risk Manager

Touchstone

Power BI

SQL

Python

Job description

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Client:

Emerald Group Ltd

Location:

London, United Kingdom

Job Category:

Other

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EU work permit required:

Yes

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Job Reference:

2f0647772245

Job Views:

4

Posted:

02.06.2025

Expiry Date:

17.07.2025

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Job Description:

Overview

This role involves providing comprehensive modelling output to stakeholders, acting as a key contact for underwriters, and supporting risk management strategies.

Key Responsibilities:

• Provide modelling output to stakeholders throughout the pricing process.
• Serve as a point of contact for underwriters regarding account and portfolio pricing queries.
• Assist with internal and external reporting activities.
• Support the design and implementation of risk management strategies aligned with business goals.
• Adhere to the Company’s Business Ethics policy and relevant regulations.

Experience required:

• Strong financial and commercial acumen.
• Experience in risk analytics modelling using RMS RiskLink, RMS Risk Manager, AIR Touchstone, or Touchstone Re.
• Proficiency in Microsoft Excel.
• Knowledge of data management and structures.
• Basic coding skills in SQL; R and/or Python are advantageous.
• Experience with data manipulation and visualization tools like PowerBI is desirable.
• Ability to interpret and communicate quantitative reports.
• Experience with DFA tools and underwriting systems is a plus.
• Knowledge of the (re)insurance industry is beneficial.