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STEM PhD Candidates Moving Into Insurance?

Eames Consulting
Posted 8 days ago, valid for 9 days
Location

London, Greater London EC1R 0WX

Salary

£40,000 - £48,000 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 market leading home & motor insurer is seeking a Technical Pricing Analyst with a PhD and strong STEM background.
  • The role involves developing predictive models, including gradient boosted and machine learning models, to enhance competitive advantage.
  • Candidates should have experience in Python or R and a strong academic record.
  • The position emphasizes innovation in creating efficient risk cost models within the insurance sector.
  • Salary details were not provided, but candidates are expected to have a PhD and relevant experience.

Technical Pricing Analyst

A market leading home & motor insurer is looking to expand its technical pricing team, hiring a PhD candidate with a strong STEM and research background.

You'll join a team with a similar background, developing predictive models to gain a competitive advantage over the wider market.

This will entail the development of gradient boosted models, machine learning models, and research into innovative improvements to create increasingly efficient risk cost models.

Candidates ideally have experience in python or R, an exceptional academic record, and a drive to be at the forefront of innovation within insurance.

For more information or a confidential discussion, please get in touch@

Eames Consulting is acting as an Employment Agency in relation to this vacancy.

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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.