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My client is looking to hire a Risk Pricing Actuary will focus on building risk pricing models for motor trade and fleet products with the aim of replicating GBMs across the pricing team within the wholesale business. They're looking for candidates who can drive research and development on this front and pioneer the move towards Databricks in Python.
Job Responsibility:
Build statistical and machine learning models to enhance risk and cost profitability predictions
Conduct data analysis to support segmentations, performance monitoring and modelling enhancements
Identify and implement innovative solutions for pricing and policy growth
Present insights and solutions clearly to senior stakeholders
Contribute to our dynamic and fast-paced pricing roadmap
Requirements:
Roughly 4+ years in insurance pricing (2+ years motor pricing)
Proficiency in Python
Strong communication skills
Ability to deliver pricing initiatives with tangible results
Experience with Emblem, Radar, Radar Live or Data Bricks is desirable
Nice to have:
Experience with Emblem, Radar, Radar Live or Data Bricks is desirable