Senior Insurance Professional L6 Pricing Apprentice

Manfield House, 1 Southampton Street, London, WC2R 0LR
£25,000.00 annually
26 Feb 2021
18 Mar 2021
Role Type
Apprenticeship, Degree
Start Date
As a Pricing Apprentice, you willlearn and develop skills to:
  • Make recommendations to the Senior Pricing Analyst for action based on the results
  • Create innovative data solutions
  • Build and maintain sophisticated models using a range of data science techniques
  • Develop reporting structures to monitor pricing performance

You will have access to market leading software provided by Willis Towers Watson, as well as the chance to develop data science and machine learning techniques.

Key Responsibilities:
  • Develop advanced pricing models to meet business requirements
  • Research and leverage new/existing data sources; creating innovative data features
  • Implement a range of data science and statistical techniques
  • Collaborate with peers in pricing and underwriting
  • Communicate results to key decision makers across the business for action based on the results of pricing analysis
  • Using specialist software to monitor trends and review impact of pricing proposals
  • Assist the maintenance and monitoring of pricing performance
  • Conduct analysis across the pet insurance market
  • Compare prices, products and conditions with the market

Requirements and prospects

Desired skills

  • Knowledge of predictive modelling techniques, such as Logistic Regression, GBM's, GLM's, Decision Trees, Random Forests, Neural Nets or Clustering
  • Experience in programming languages (e.g. R, Python, MATLAB, SAS, SQL)
  • Proficient at communicating results in a concise manner both verbally and written

Personal qualities

  • Self-motivated with a drive to learn and develop
  • Outside-the-box thinker with a logical approach to solving problems
  • Passion to innovate and improve processes
  • Personality with a professional and positive attitude
  • Interest in the pet insurance market

Desired qualifications

  • A good quantitative degree in, but not limited tomathematics, statistics, engineering, physics, computer science, actuarial science or data science

Future prospects

Potential for full-time position as a Pricing Analyst.

Things to consider

Please note based on applicants previous experience this programme will take between 30-36 months to complete.

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