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Actuarial Analyst (mixed role)

JR United Kingdom

Crawley

On-site

GBP 30,000 - 45,000

Full time

3 days ago
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Job summary

A leading insurance company in Crawley seeks an Actuarial Analyst for a mixed role in their actuarial department. This opportunity involves approximately 50% pricing, 25% reserving, and 25% other projects, supporting underwriters with actuarial pricing and model development. Ideal candidates are Part Qualified Actuaries with relevant experience and knowledge of R/Python.

Benefits

Mentorship programs
Supportive company culture

Qualifications

  • Experience in general insurance or pensions consultancy.
  • Familiarity with Lloyd's/London Market.
  • 6 months to 2 years of relevant experience.

Responsibilities

  • Support class underwriters with actuarial pricing.
  • Develop exposure and experience rating models.
  • Conduct detailed segmentation analysis.

Skills

R
Python
Actuarial pricing
Segmentation analysis

Education

Part Qualified Actuary

Job description

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Actuarial Analyst (mixed role), Crawley, West Sussex

Client:

Eames Consulting

Location:

Crawley, West Sussex, United Kingdom

Job Category:

Other

EU work permit required:

Yes

Job Views:

5

Posted:

16.06.2025

Expiry Date:

31.07.2025

Job Description:

Our client, a highly reputable Lloyd's/London Market Insurer, is looking to hire in their actuarial department, focusing on cyber lines of business.

This is an excellent opportunity for those seeking a mixed role involving pricing, reserving, and other ad-hoc projects. Responsibilities include supporting class underwriters with actuarial pricing, developing exposure and experience rating models, conducting detailed segmentation analysis, and performing reserving activities.

The workload is approximately 50% pricing, 25% reserving, and 25% other projects.

The team works three days a week in the office. They promote a supportive company culture with mentorship programs.

The hiring manager is interested in speaking with Part Qualified Actuaries with experience in general insurance or pensions consultancy. Candidates should have exposure to R/Python and a solid understanding of the Lloyd's/London Market. Suitable candidates have between 6 months and 2 years of experience.

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