Actuarial Post Jobs

Our client is seeking a part-qualified non-life actuary with experience with generalised linear models to deliver the firm's technical pricing assessment, analysis and reporting capabilities.

Our client, a major insurer, has an exciting opportunity for a part-qualified or qualified actuary with experience in any insurance pricing role to analyse pricing structures and past performance to improve risk management.

Our client, a major insurer, is seeking a part-qualified actuary with previous experience in non-life insurance pricing (preferably Motor) to recommend pricing actions based on your in-depth monitoring and analysis of account performance and trends.

Innovative client are seeking a candidate with some GI Actuarial pricing experience, who no longer want to study the exams.

Goodman Masson are working with a large UK insurance firm who are searching for a Senior Data Scientist to work alongside their Actuarial & Pricing teams to lead the R&D activity within their Insurance team.

This is a fantastic opportunity for a GI Pricing contractor to work for a team responsible for the maintenance and development of the entire home pricing model.

I am recruiting for a day rate contract which may suit candidates on a notice period in a permanent position.

I am recruiting for two new day rate contract positions based in London. Candidates will have hands on modelling experience in Emblem and Radar, and good data preparation experience in SQL/SAS.

I am recruiting for a GI Pricing Analyst with strong technical modelling skills.

I am recruiting for a number of Pricing contract roles in the General Insurance sector.

Candidates will support the price modelling team, and will have strong modelling experience using tools such as Emblem, Radar and Classifier.

Our client, a leading specialist insurer, currently has a number of exciting contract opportunities for PQ & qualified GI actuaries to deliver the actuarial function’s second line governance and oversight strategy for specific lines of business.