Senior Pricing Analyst (Risk)

JR United Kingdom; Haywards Heath; Hybrid; GBP 45,000 - 65,000; Full time

Job summary

A leading insurance provider in the UK is seeking a Senior Risk Pricing Analyst to enhance their pricing strategies across various insurance lines. The role emphasizes innovative data modeling and collaboration with cross-functional teams to leverage analytics for competitive advantage in the market. Candidates should possess a strong background in insurance pricing and data science programming, aiming to drive innovation and improved processes within the rapidly evolving insurance landscape.

Qualifications

• Experience in general insurance pricing.
• Familiarity with predictive modelling techniques such as Logistic Regression, GBMs, and Decision Trees.
• Proficient in statistical programming languages.

Responsibilities

• Develop advanced pricing models using data science techniques.
• Collaborate with pricing, underwriting, and data science teams.
• Communicate pricing analysis results to decision makers.

Skills

Analytical skills

Predictive modelling

Data communication

Tools

R

Python

SQL

WTW's Radar

Job description

Social network you want to login/join with:

col-narrow-left

Client:

Gerrard White

Location:

Job Category:

Other

-

EU work permit required:

Yes

col-narrow-right

Job Views:

2

Posted:

09.07.2025

Expiry Date:

23.08.2025

col-wide

Job Description:

Job Title: Senior Risk Pricing Analyst

Locations: Haywards Heath or Manchester (Hybrid, 1-2 days in the office)

Role Overview

Markerstudy Group are looking for a Senior Risk Pricing Analyst to join a quickly growing and developing pricing department across a range of insurance lines.

Markerstudy is a leading provider of private insurance in the UK, insuring around 5% of the private cars on the UK roads, 20% of commercial vehicles and over 30% of motorcycles in total premium levels of circa £1.2b. The majority of business is written as the insurance pricing provider behind household names such as Co-op, Sainsbury's, O2, Halifax, AA, Saga and Lloyds Bank to list a few and Markerstudy also has a large and growing direct presence in the market as well.

Having acquired and successfully integrated Co-op Insurance Services in 2021 & BGLi in 2022, Markerstudy are now pursuing innovative pricing techniques, taking advantage of an award winning insurer hosted rating platform, whilst challenging existing embedded processes.

As a Senior Pricing Analyst, you will use your advanced analytical skills to:

• Be a key stakeholder influencing the direction & outcome of projects across a range of personal lines products
• Create innovative data solutions finding new ways to mine insight & present data
• Build and maintain sophisticated models, prioritising a range of data science techniques
• Develop reporting structures to monitor pricing performance in an automated fashion

Working with the technical pricing team and closely with underwriting, retail pricing & data science teams, your insight and recommendations will enable improvements to products and prices giving Markerstudy a critical advantage in the increasingly competitive insurance market.

Key Responsibilities:

• Develop a suite of advanced pricing models using a combination of traditional & data science techniques across Private Car, Commercial Vehicle & Home accounts
• Advance the adoption of data science & statistical techniques across pricing & underwriting
• Research and leverage new and existing data sources; capturing and explaining trends with innovative data features
• Communicate results to key decision makers across the business for action based on the results of pricing analysis
• Review observed & expected performance of key accounts
• Collaborate with peers in pricing, underwriting and data science
• Facilitate automation of repeatable tasks
• Using specialist software to monitor trends and review impact of pricing proposals
• Coaching and mentoring junior team members

Key Skills and Experience:

• Previous experience within general insurance pricing
• Experience with some of the following predictive modelling techniques; Logistic Regression, GBMs, Elastic Net GLMs, GAMs, Decision Trees, Random Forests, Neural Nets and Clustering
• Experience in statistical and data science programming languages (e.g. R, Python, PySpark, SAS, SQL)
• Experience of WTW's Radar software is preferred
• Proficient at communicating results in a concise manner both verbally and written

Behaviours:

• Self-motivated with a drive to learn and develop
• Logical thinker with a professional and positive attitude
• Passion to innovate, improve processes and challenge the norm