Senior Technical Pricing Analyst

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 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.

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 members

Key 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