Pricing Analyst Analyst

3 weeks ago

United Kingdom Vermelo RPO Full time

Job Title: Senior Pricing Analyst Locations : Haywards Heath or Manchester (Hybrid)

Our client is looking for a Senior Pricing Analyst to join a quickly growing and developing pricing department across a range of insurance lines.

They 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 also has a large and growing direct presence in the market as well.

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 either retail or technical pricing teams and closely with underwriting teams, your insight and recommendations will enable improvements to products and prices giving a critical advantage in the increasingly competitive insurance market.

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
Using specialist software to monitor trends and review impact of pricing proposals
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

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