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Job Title:
Senior Risk Pricing Analyst
Locations:
Haywards Heath or Manchester (Hybrid, 1-2 days in the office)
Role Overview
Markerstudy Group is seeking a Senior Risk 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, 20% of commercial vehicles, and over 30% of motorcycles, with total premiums of circa £1.2b. The company partners with household names such as Co-op, Sainsbury's, O2, Halifax, AA, Saga, and Lloyds Bank, and has a significant direct market presence.
Following acquisitions of Co-op Insurance Services in 2021 and BGLi in 2022, Markerstudy is pursuing innovative pricing techniques using an award-winning insurer-hosted rating platform, challenging existing processes.
As a Senior Pricing Analyst, you will leverage your analytical skills to:
* Influence project directions and outcomes across personal lines products
* Create innovative data solutions to extract insights and present data
* Build and maintain sophisticated models using data science techniques
* Develop automated reporting structures to monitor pricing performance
Collaborating with technical pricing, underwriting, retail pricing, and data science teams, your insights will help improve products and pricing strategies, giving Markerstudy 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 and existing data sources to identify trends
* Communicate results effectively to decision-makers for action
* Review performance of key accounts
* Collaborate with peers across teams
* Automate repetitive tasks
* Use software to monitor trends and assess pricing impacts
* Mentor junior team members
Key Skills and Experience
* Experience in general insurance pricing
* Knowledge of 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
* Quantitative degree (Mathematics, Statistics, Engineering, Physics, Computer Science, Actuarial Science)
* Experience with WTW's Radar software is preferred
* Excellent communication skills, both verbal and written
Behaviours
* Self-motivated and eager to learn
* Logical thinker with a professional attitude
* Innovative, process-oriented, and challenging the norm
* Personality and sense of humor
Seniority level
* Mid-Senior level
Employment type
* Full-time
Job function
* Finance
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