Permanent Ref No: 1525376 Qualification: Part Qualified
Reporting to the Risk Pricing & Pricing Sophistication Manager, you will work in a team of analysts and actuaries, and your main responsibilities will include:
  • Support Pricing Management to deliver tasks for accounts as assigned as part of the annual objective setting process.
  • Maintain existing applications by implementing new features and addressing any issues or bugs to ensure continuous improvement and reliability.
  • Build data pipelines using data science and Machine Learning techniques to solve business problems.
  • Maintain and improve data science pipelines.
  • Derive insights from analysis of large internal or external data sets and recommend potential business uses.
  • Build statistical models (eg. GLMs etc).
  • Review model performances and execute model rebuild and/or adjustments when required.
  • Support the monthly production of monitoring processes for allocated classes e.g. Rate Adequacy, AP/TP, AvsE etc.
  • Derive and share profitability insights and analysis at regular account review meetings.
Required:
  • 2+ years' work experience in a similar Pricing Analyst/Data Science role.
  • Proven experience using R
  • Experience of SQL programming with the ability to perform effective and efficient querying involving multiple tables and subqueries.
  • Good understanding of machine learning models and data science process (feature engineering, modelling etc.) required.
  • Proficient in using code or analytical tools for modelling, visualisation, data manipulation and processing.
  • Experience with a version control system (eg. Git).
  • Detailed oriented, problem-solver and solution focused with proven ability to deliver, prioritising and organising work load.
  • Autonomous, innovative, pragmatic and able to apply known or new techniques.
  • Ability to work on multiple projects at the same time.
  • Able to apply analytical problem solving, make recommendations, and implement improvements continuously in a dynamic environment.
For further details, please contact [email protected] or +35316099404.

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Tagged as: General Insurance
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