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Actuarial Analyst (mixed role)

JR United Kingdom

Chesterfield

On-site

GBP 35,000 - 55,000

Full time

3 days ago
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Job summary

A leading Lloyd's/London Market Insurer seeks a Part Qualified Actuary for their actuarial department in Chesterfield. This role offers a mixed focus on pricing, reserving, and ad-hoc projects, in a supportive environment that fosters mentorship. Candidates should have experience with R/Python and a solid grasp of the Lloyd's market.

Benefits

Mentorship programs

Qualifications

  • Must be a Part Qualified Actuary with general insurance or pensions consultancy background.
  • Ideal candidates have 6 months to 2 years of experience.
  • Exposure to R/Python is preferred.

Responsibilities

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

Skills

R
Python
Actuarial Pricing
Segmentation Analysis

Education

Part Qualified Actuary

Job description

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Client:

Eames Consulting

Location:

Chesterfield, United Kingdom

Job Category:

Other

-

EU work permit required:

Yes

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Job Views:

5

Posted:

16.06.2025

Expiry Date:

31.07.2025

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Job Description:

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

This is an excellent opportunity for those who want a mixed role across pricing, reserving, and other ad-hoc projects. Responsibilities include supporting class underwriters with actuarial pricing, developing exposure and experience rating models, undertaking detailed segmentation analysis, and reserving activity.

The split of work is roughly 50% pricing, 25% reserving, and 25% other ad-hoc projects.

The team works 3 days a week in the office. They have a highly supportive company culture which includes mentorship programs.

The hiring manager is keen to speak to Part Qualified Actuaries who come from either general insurance or pensions consultancy. Candidates should ideally have exposure to R/Python and a solid understanding of the Lloyd's/London Market. They can consider those with 6 months up to 2 years of experience.

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