Actuarial Analyst (mixed role)

JR United Kingdom; Warrington; On-site; GBP 30,000 - 45,000; Full time

Job summary

A leading insurance company in Warrington seeks an Actuarial Analyst for a mixed role focusing on cyber lines of business. The role involves pricing, reserving, and supporting various actuarial projects. Candidates with 6 months to 2 years of experience and skills in R/Python are encouraged to apply.

Benefits

Supportive company culture

Mentorship programs

Qualifications

• Part Qualified Actuary required.
• Experience in general insurance or pensions consultancy is preferred.
• Exposure to R/Python is ideal.

Responsibilities

• Supporting class underwriters with actuarial pricing.
• Developing exposure and experience rating models.
• Conducting detailed segmentation analysis and reserving activities.

Skills

R

Python

Pricing

Reserving

Segmentation Analysis

Job description

Social network you want to login/join with:

Actuarial Analyst (mixed role), Warrington, Cheshire

Client:

Eames Consulting

Location:

Warrington, Cheshire

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 to focus on cyber lines of business.

This is an excellent opportunity for those interested in 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 reserving activities.

The workload distribution is approximately 50% pricing, 25% reserving, and 25% other ad-hoc projects.

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

The hiring manager is eager to speak with Part Qualified Actuaries with experience in general insurance or pensions consultancy. Candidates should ideally have exposure to R/Python and a solid understanding of the Lloyd's/London Market. Candidates with 6 months to 2 years of experience are considered.