Senior Pricing Analyst

CV-Library

Manchester, Greater Manchester

11 months ago

Applications closed

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Posted: 5 Jun 2025 (11 months ago)

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Job Title: Senior Pricing Analyst

Locations: Manchester (flexible)

Role Overview

Markerstudy Group are looking for a Senior Pricing Analyst to help build and shape our pricing models. You will help monitor our portfolio and deliver innovative pricing solutions within the Retail Pricing team.

Joining our retail pricing team, you will be keeping a close eye on trading across different channels and insurance products. You will have previous experience in general insurance pricing and be familiar with the tools of the trade, such as SAS, Python, RStudio, SQL, Emblem and Radar. With your naturally inquisitive mindset, you will be well versed in the UK personal lines insurance space, and understand how the personal lines insurance market works. Always open to change, you have a keen eye for the continuous improvement of process.

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

Conducting retail price optimisation analysis/modelling

developing customer propensity and Life Time Value (LTV) models to produce the different models and SAS or SQL for data analysis

Create innovative data solutions finding new ways to mine insight & present data

Build and maintain sophisticated models, prioritising a range of data science techniques

Advance the adoption of data science & statistical techniques

Communicate results to key decision makers across the business for action based on the results of pricing analysis

Collaborate with peers in pricing, underwriting and data science

will generate insight to help make commercial decisions and strategic changes to prices to meet budget requirements.

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)

A good quantitative degree (Mathematics, Statistics, Engineering, Physics, Computer Science, Actuarial Science)

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

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