Senior Pricing Analyst
2 weeks ago
Job Title: Senior Pricing Analyst
Locations : Haywards Heath or Manchester (Hybrid)
Role Overview
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.
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:
- Minimum of 2 years’ 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
- Personality and a sense of humour
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