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Locations: Haywards Heath or Manchester (Hybrid)
Role Overview
Markerstudy Group is looking for a Senior Pricing Analyst to join a rapidly growing and developing pricing department across various insurance lines.
Markerstudy is a leading provider of private insurance in the UK, insuring around 5% of private cars on UK roads, a percentage of commercial vehicles, and motorcycles, with total premiums of approximately £1.2 billion. The company works with household names such as Co-op, Sainsbury’s, O2, Halifax, AA, Saga, and Lloyds Bank, and has a significant direct market presence.
Following the acquisition and integration of Co-op Insurance Services and BGLi, Markerstudy is pursuing innovative pricing techniques, leveraging an award-winning insurer-hosted rating platform and challenging existing processes.
Responsibilities
* Use advanced analytical skills to influence project directions across personal lines products.
* Create innovative data solutions to extract insights and present data effectively.
* Build and maintain sophisticated models, applying various data science techniques.
* Develop automated reporting structures to monitor pricing performance.
Collaborate with retail or technical pricing teams and underwriting to improve products and pricing strategies, providing a competitive edge.
Key Responsibilities
* Develop advanced pricing models using traditional and data science techniques for various accounts.
* Promote the adoption of data science and statistical techniques in pricing and underwriting.
* Research and utilize new data sources, identifying trends with innovative features.
* Communicate findings to decision-makers for actionable insights.
* Review performance metrics of key accounts.
* Work with peers in pricing, underwriting, and data science.
* Automate repetitive tasks.
* Use specialist software to monitor trends and assess pricing proposals.
* Mentor and coach team members.
Skills and Experience
* At least 2 years of experience in general insurance pricing.
* Experience with predictive modeling techniques such as Logistic Regression, GBMs, Elastic Net GLMs, GAMs, Decision Trees, Random Forests, Neural Nets, and Clustering.
* Proficiency in programming languages like R, Python, PySpark, SAS, SQL.
* Experience with WTW’s Radar software is preferred.
* Excellent communication skills, both verbal and written.
Behaviors
* Self-motivated with a desire to learn and develop.
* Logical thinker with a positive attitude.
* Passionate about innovation, process improvement, and challenging norms.
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