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Catastrophe Analyst

www.topfinancialjobs.co.uk - Jobboard

London

On-site

GBP 30,000 - 50,000

Full time

30+ days ago

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Job summary

An established industry player is looking for a Graduate Analyst to join their catastrophe modelling team. This exciting role involves supporting underwriters with data analysis and decision-making across various insurance lines, including Property and Energy. The position provides an excellent opportunity to gain experience in catastrophe modelling and utilize cutting-edge RMS software. Candidates should have a strong academic background in a numerical or science subject, alongside proficiency in Excel and ideally SQL or programming languages like Python or R. If you're passionate about analytics and eager to kickstart your career in insurance, this role is perfect for you.

Qualifications

  • Strong IT skills are essential for this analytical role.
  • Experience in an analytical role is preferred but not mandatory.

Responsibilities

  • Assist underwriters with analytics for informed decision-making.
  • Work across various lines including Property, Energy, and Marine.

Skills

Data Handling
Data Analysis
Excel
SQL
Programming (Python or R)

Education

Degree in Numerical or Science Subject

Tools

RMS Software

Job description

Our client is a global provider of property, casualty, and specialty insurance and reinsurance, seeking a Graduate Analyst to join a small catastrophe modelling team, reporting to the Senior Catastrophe Manager.

The role is on the insurance side of their business, working across Property, Energy, Marine, and other lines as per business needs. The analyst will assist underwriters with analytics to support informed decision-making. The role requires good data handling and analysis skills, with solid experience in Excel, and ideally SQL and/or programming in Python or R. This position offers excellent grounding in catastrophe modelling and the use of RMS software.

Relevant work experience in an analytical role is preferred; however, an academic background in a numerical or science subject, combined with strong IT skills, is essential.

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