Senior Pricing Analyst

Markerstudy Group; Manchester; Hybrid; GBP 45,000 - 60,000; Full time

Job summary

A leading insurance provider is seeking a Senior Pricing Analyst to enhance its pricing strategies in an ever-competitive market. This hybrid role involves developing advanced pricing models, leveraging data science techniques, and collaborating closely with teams across the organization. The ideal candidate will have a strong quantitative background, proficient communication skills, and at least 2 years of experience in general insurance pricing. Join us and take part in innovative pricing projects to maintain our competitive edge.

Qualifications

• Minimum of 2 years’ experience within general insurance pricing.
• Experience with predictive modelling techniques like Logistic Regression, GBMs.
• Proficient at communicating results in a concise manner both verbally and written.

Responsibilities

• Develop a suite of advanced pricing models for various accounts.
• Advance the adoption of data science techniques across pricing and underwriting.
• Research new data sources and capture performance trends.

Skills

Predictive modelling techniques

Statistical programming languages (R, Python)

Communication skills

Quantitative degree

Education

Good quantitative degree (Mathematics, Statistics, Engineering, Physics, Computer Science, Actuarial Science)

Tools

WTW’s Radar software

Statistical software (SAS, SQL)

Job description

Job Title: Senior Pricing Analyst

Locations: Haywards Heath or Manchester (Hybrid)

Role Overview

Markerstudy Group are looking for a Senior 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, % of commercial vehicles and over % 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 1 & BGLi in 2, Markerstudy are now pursuing innovative pricing techniques, taking advantage of an award winning insurer hosted rating platform, whilst challenging existing embedded processes.

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 Markerstudy 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