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A leading insurer in the UK seeks a technically-minded doctoral graduate for a unique opportunity in technical pricing. The role involves creating complex actuarial models and driving projects from conception to implementation. Ideal candidates will have a PhD in a STEM subject and experience in machine learning techniques. Fully remote or hybrid working options available.
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Reference: Star8722 Posted: 27/03/2024
Are you a technically-minded doctoral graduate with a PhD in a STEM subject, seeking to make an impact within the insurance industry?
Then this is a fantastic opportunity to join a leading insurer in a totally unique career opportunity, creating complex, robust actuarial models and interpreting the results to deliver high impact, innovative pricing.
With a strong research and development focus, you will also drive complex projects through the complete development cycle, from early conceptualization to implementation.
In addition, you will identify opportunities to challenge and improve existing methodologies, deploying new analytical techniques that deliver new insights and tangible operational improvements.
Experience of machine learning techniques e.g., GBMs, Elastic Net Regression or Random Forests in Python or R would be highly advantageous.
There is no other role like this on the market so get in touch now for more information.
Telephone Number This is a required field
Email Address This is a required field A valid email address is required.
CV, LinkedIn or Dropbox URL This is a required field
CV Upload Choose File This is a required field
LinkedIn / Dropbox URL This is a required field A valid LinkedIn URL is required, please ensure it begins with https://www.linkedin.com/ A valid DropBox URL is required, please ensure it begins with https://www.dropbox.com/
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.