STEM PhD Candidates Moving Into Insurance-

Financial Women’s Association; London; On-site; GBP 40,000 - 60,000; Full time

Job summary

A leading home & motor insurer is seeking a Technical Pricing Analyst to join their team in London. The role focuses on developing advanced predictive and machine learning models to enhance efficiency in risk cost management. The ideal candidate will have a strong STEM background, particularly at PhD level, and proficiency in Python or R, along with a passion for innovation in the insurance industry.

Qualifications

• Strong academic record required, ideally with a PhD.
• Experience in predictive modeling and machine learning.
• Drive to innovate within the insurance sector.

Responsibilities

• Develop predictive models for competitive market advantage.
• Research innovative improvements to risk cost models.
• Collaborate within a technically skilled team.

Skills

Python

R

Machine Learning

Education

PhD in STEM

Job description

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@ [e-mail]

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