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Senior Pricing Actuarial Analyst

3 months ago


London UK, UK, United Kingdom DiverseJobsMatter Full time

JOB DESCRIPTION


Senior Pricing Analyst


London/Hybrid


THE OPPORTUNITY:


We have an opportunity for a Senior Pricing Analyst to join our Data Science Pricing team in London. The role will include creating future focussed processes and tools that will help both UK and International Casualty and the wider pricing transformation. It will give you exposure to the London Market, the world’s largest and most complex insurance risks, gaining exposure to the UK and European insurance.


Our vision is to be the market leading Pricing Data Science team, working with Underwriters to deliver profitable business, investing in the development of every team member to build expertise in both insurance and data science and providing them with the tools and data that they need to be excellent in their roles.


With hybrid office working and excellent benefits including 30 days holiday, you will be working in a supportive and inclusive environment. We’re the down-to-earth, international insurer that is neither too big nor small, so you can make a real impact


YOUR NEW ROLE:


  • Work with the Casualty Lead Pricing Data Science lead and build strong relationships with Casualty underwriters working in the European and Lloyd’s markets.
  • Be responsible for the on-going development of Casualty models used by the various Casualty underwriting teams.
  • Work on the case pricing of larger risks and binders
  • Fuse new data science techniques with traditional pricing methods to help form a market leading team of pricing data science professionals.
  • Provide support and guidance to junior members of the Casualty Pricing Data Science team


ABOUT YOU:


  • Knowledge and experience of working in General Insurance
  • Strong analytical and problem-solving skills
  • Excellent communication skills and collaborative mindset
  • Willingness and desire to learn new skills
  • Ability to manage multiple priorities and projects
  • A quantitative undergraduate degree
  • Experience in using Excel, Pyhton, R, SQL or other programming languages