Job Title: Pricing Analyst
Locations: Haywards Heath or Manchester (Hybrid working)
Role overview:
Markerstudy Group are looking for a Pricing Analyst to join a quickly growing and developing pricing department across a range of insurance lines.
Markerstudy 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 Markerstudy also has a large and growing direct presence in the market as well.
Having acquired and successfully integrated Co-op Insurance Services in 2021 & BGLi in 2022, Markerstudy are now pursuing innovative pricing techniques, taking advantage of an award winning insurer hosted rating platform, whilst challenging existing embedded processes.
As a Pricing Analyst, you will use your analytical skills to:
Support pricing teams in building and maintain sophisticated models via a range of data science techniques
Monitor pricing performance via automated reporting structures
Enable growth within Motor & Home portfolios
Working with the technical pricing team and closely with underwriting, retail pricing & data science teams, your insight and recommendations will enable improvements to products and prices giving Markerstudy a critical advantage in the increasingly competitive insurance market
Key Responsibilities:
Support development 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
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
Key Skills and Experience:
Previous 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, but not essential
Proficient at communicating results in a concise manner both verbally and written
Ability to analyse, understand and interpret data from varying sources
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