Pricing Analyst

Job Description

Pricing Analyst 

Job Market: Insurance 

Pricing Analyst: About the role

The Pricing Analyst provides Actuarial pricing support, primarily for the Casualty portfolio (with a focus upon account pricing, benchmark rate reviews and portfolio analyses). The role is strongly client-facing, incorporating support for broker negotiations, pricing support for insureds and involvement in developing new pricing capabilities.

The successful applicant will have strong technical pricing skills. A background in modelling for data-rich commercial or personal lines classes will also be an advantage. You will need strong communication skills and commercial awareness in order to provide effective broker and client support.


The Pricing Analyst will be located within the Actuarial pricing team in London and work directly with the underwriting team under the guidance of the Head of Pricing / Assistant Pricing Manager.

Development of a deep understanding of the Casualty classes, trends, and underwriting team strategy

Account pricing and underwriter support for broker negotiations

Ongoing portfolio monitoring for accounts

Benchmark rate reviews and other pricing support for insureds

Supporting the collection and maintenance of pricing data

Keeping abreast of industry initiatives and develop new pricing/visualisation techniques and best practice where opportunities arise

Collaborating, presenting, and sharing knowledge with the wider Actuarial team on pricing approaches • Assistance for other pricing team activities as required


Pricing Analyst: Key requirements

2.1 or 1st degree in a Maths or Maths-related subject (e.g. Physics, Engineering, Statistics)

3 or more strong ‘A’ levels, including Maths

Making good progress towards FIA qualification or equivalent

Commitment to actuarial qualification &/or data science as applicable to the London market

Solid pricing experience in general insurance

Experience in pricing for commercial and/or personal lines (or other data-rich classes).

Strong IT skills, including comprehensive knowledge of Excel and VBA)

EMBLEM, R or Python


Experience in building general linear models (GLM)

Experience with Machine Learning models