Senior Technical Pricing Analyst

Description:

Senior Pricing Analyst
Role Overview
We are looking for a Senior Pricing Analyst to join a quickly growing and developing pricing department across a range of insurance lines.
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 fashionWorking 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.
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 team membersKey Skills and Experience:

Experience within general insurance pricing
Extensive experience with GBMs and Elastic Net GLMs
Experience with some of the following predictive modelling techniques preferred;  GAMs, 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)
Proficient in using WTW’s Radar software
Proficient at communicating results in a concise manner both verbally and written

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