Pricing Actuary - Casualty

London Source: WhatJobs
See advert for pay

Overview

In this role you will support the SBS & Cedant Facultative P&C Pricing and Modelling team, focusing on Casualty lines for SCOR and SCOR Syndicate. You will price key accounts, develop and maintain pricing models, and deliver analyses and ad-hoc reports. You’ll represent the team in global projects and help drive data-driven pricing across platforms, working closely with underwriters and cross-functional teams to improve profitability and pricing processes.

Responsibilities

  • Price key individual accounts and support complex accounts
  • Develop, maintain and calibrate pricing tools and models with Underwriters and CTO
  • Produce pricing analyses and ad-hoc reports; support dashboards and MI
  • Represent Pricing & Modelling Team in global projects
  • Enhance pricing processes with data-driven approaches; build tools in Excel and Python ecosystem
  • Support development/refresh of predictive models (GLMs) and transition to web-based platforms
  • Collaborate with Underwriters on tool adoption and training; manage change
  • Contribute to annual portfolio profitability review and capital model parametrisation
  • Maintain documentation and parameter impact analyses
  • Handle regulatory reporting and management reporting (PMDR, performance reviews)
  • Participate in pricing reviews for high-materiality accounts

Key requirements

  • London Market experience (a couple years)
  • MS Excel proficiency; SQL, GIS; programming in R or Python a plus
  • Strong analytical, proactive and solution-oriented
  • Clear communicator with ability to simplify complex issues
  • Team player with knowledge sharing mindset
  • Data science, predictive modelling, analytics, machine learning, AI experience
  • Programming skills
  • Ability to adapt to priorities and work on ad-hoc projects
  • strong communication
  • team collaboration
  • problem-solving mindset
  • MS Excel
  • SQL
  • GIS

Full job description from WhatJobs. Apply for this role →

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