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Senior Pricing Analyst Technical

Arthur
Posted 8 days ago, valid for 16 days
Location

London, Greater London EC2V7NQ, England

Salary

£55,000 - £66,000 per annum

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Contract type

Full Time

In order to submit this application, a Reed account will be created for you. As such, in addition to applying for this job, you will be signed up to all Reed’s services as part of the process. By submitting this application, you agree to Reed’s Terms and Conditions and acknowledge that your personal data will be transferred to Reed and processed by them in accordance with their Privacy Policy.

Sonic Summary

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  • A leading personal lines insurer is seeking a Senior Pricing Analyst for their Home insurance team.
  • The successful candidate will develop and execute models and analyses for market pricing, requiring strong statistical modeling and advanced machine learning skills.
  • This largely remote position requires 1-2 days in the London office per month, with a salary of £60,000 to £80,000 per year.
  • Candidates should have at least 3-5 years of experience in pricing or analytics, with proficiency in Python, SQL, or SAS.
  • Familiarity with Generalized Linear Models and Gradient Boosting Models, along with experience using Willis Towers Watson software, is essential.
I am working with a leading personal lines insurer seeking a Senior Pricing Analyst within their Home insurance team. The successful candidate will be instrumental in developing and executing models and analyses that form the foundation of market pricing. This role requires a strong grasp of statistical modeling methods, along with expertise in advanced machine learning techniques.Largely remote working with 1/2 days in the London office per month.Responsibilities:
  • Contribute to the planning and execution of risk model updates, continuously improving data quality and processes.
  • Collaborate with teams and stakeholders to understand their requirements, data needs, and desired modeling outcomes.
  • Engage with data from sourcing through to modeling and implementation in rating.
  • Analyse data, interpret outputs, and effectively communicate insights to non-technical audiences.
Requirements:
  • Strong knowledge of statistical modeling techniques, especially Generalized Linear Models (GLMs)
  • Familiarity with machine learning methods, particularly Gradient Boosting Models (GBMs)
  • Demonstrated experience working with large datasets
  • Proficient in Python, SQL, SAS, or similar programming languages
  • Experience with Willis Towers Watson software, including Radar and Emblem

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In order to submit this application, a Reed account will be created for you. As such, in addition to applying for this job, you will be signed up to all Reed’s services as part of the process. By submitting this application, you agree to Reed’s Terms and Conditions and acknowledge that your personal data will be transferred to Reed and processed by them in accordance with their Privacy Policy.