Algorithmic Pricing Actuary

1 month ago


London, United Kingdom The Emerald Group Full time

You’ll be working within a multi-disciplinary and commercially-focussed team, bringing together deep expertise in specialty insurance with scalable actuarial analysis and product development. Their squads focus on delivering high-impact features and they favour a highly iterative, analytical approach. They invest time in research and development, internally and with academic institutions.

  • Location: London
  • Category: Non-Life
  • Type: Permanent

Key duties (including, but not limited to):

  • Design, develop, productionise and maintain digital pricing models, to facilitate algorithmic underwriting at scale
  • Support the ongoing development of pricing models
  • Engage with other functions (e.g. Portfolio Underwriting, Product, Engineering, Data Science) to ensure a consolidated approach to risk assessment model development
  • Design, build and maintain pricing model monitoring capabilities and regular monitoring of core pricing metrics
  • Continuously evolve pricing models by exploring new data sources and model improvements, and informing the algorithm product roadmap
  • Input into validation of Machine Learning model development and other risk assessment considerations
  • Contribute directly to the development of automated validation and stress testing capabilities for pricing models
  • Ensure that processes and best practices are adhered to within the Product process – Exploring new modelling approaches to improve pricing sophistication
  • Bachelor’s Degree or higher in a STEM field
  • Qualified actuary or equivalent Qualified-by-Experience
  • Good commercial general insurance Lloyd’s/company market experience, including deep knowledge in one or more underwriting classes
  • Pricing experience preferred but Reserving / Capital also relevant
  • Experience working with Python / SQL
  • Experience with good software development practice (e.g. agile development, version control in Git) highly desirable
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