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The Senior Household Pricing Analyst will plan and deliver pricing related projects to deadline and quality standards. They will directly influence the future growth and profitability of the business.
Job Responsibility:
Management, development and coaching of Pricing Analysts
Development and delivery of up to date and accurate datasets for modelling, pricing and monitoring
Develop, validate, review and approve predictive and machine learning models
Development and maintenance of pricing models and support for their deployment
Requirements:
1-3 years General Insurance pricing experience
Experience in insurance pricing or related analytical background
Highly skilled in the use of programming language (e.g. SAS) to manipulate data
Experienced in the use of a programming language (e.g. R, Matlab, Python or Octave)