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- Tasks: Develop predictive models and innovative risk cost models in a dynamic team.
- Company: Join a market-leading home and motor insurer focused on innovation.
- Benefits: Enjoy competitive pay, potential remote work options, and a collaborative culture.
- Why this job: Be at the forefront of insurance innovation while working with like-minded STEM experts.
- Qualifications: PhD candidates with strong STEM backgrounds and experience in Python or R are preferred.
- Other info: Confidential discussions available; reach out to sam.baker@eamesconsulting.com.
The predicted salary is between 36000 - 60000 £ per year.
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@ sam.baker@eamesconsulting.com
Eames Consulting is acting as an Employment Agency in relation to this vacancy. #J-18808-Ljbffr
STEM PhD Candidates Moving Into Insurance- employer: The Institute of Internal Auditors
Contact Detail:
The Institute of Internal Auditors Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land STEM PhD Candidates Moving Into Insurance-
✨Tip Number 1
Network with professionals in the insurance industry, especially those working in technical pricing. Attend relevant conferences or webinars to connect with potential colleagues and learn about the latest trends in predictive modelling.
✨Tip Number 2
Showcase your technical skills by working on personal projects or contributing to open-source projects that involve machine learning or predictive modelling. This will demonstrate your practical experience and passion for the field.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of gradient boosted models and other machine learning techniques. Be ready to discuss how you would apply these methods to real-world insurance problems.
✨Tip Number 4
Research the company’s current pricing strategies and any recent innovations they’ve implemented. This will help you tailor your discussions during interviews and show that you’re genuinely interested in their work.
We think you need these skills to ace STEM PhD Candidates Moving Into Insurance-
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your STEM background and any relevant research experience. Emphasise your skills in Python or R, as well as any projects that demonstrate your ability to develop predictive models.
Craft a Strong Cover Letter: In your cover letter, explain why you are interested in the role of Technical Pricing Analyst. Discuss your passion for innovation in insurance and how your academic achievements align with the company's goals.
Showcase Relevant Projects: If you've worked on any projects involving machine learning or risk cost models, be sure to include these in your application. Detail your contributions and the outcomes to illustrate your capabilities.
Highlight Soft Skills: While technical skills are crucial, don't forget to mention soft skills such as teamwork, communication, and problem-solving. These are important in a collaborative environment like the one described in the job posting.
How to prepare for a job interview at The Institute of Internal Auditors
✨Showcase Your Technical Skills
Make sure to highlight your experience with Python or R during the interview. Be prepared to discuss specific projects where you've developed predictive models or used machine learning techniques, as this will demonstrate your technical proficiency and relevance to the role.
✨Demonstrate Your Research Background
Since the role requires a strong research background, be ready to talk about your PhD work. Explain how your research can contribute to innovative improvements in risk cost models, and share any relevant findings that could apply to the insurance industry.
✨Understand the Insurance Market
Familiarise yourself with the current trends and challenges in the insurance market, particularly in home and motor insurance. This knowledge will help you engage in meaningful discussions and show your enthusiasm for the industry.
✨Prepare Questions for the Interviewers
Have a list of insightful questions ready to ask your interviewers. Inquire about the team's current projects, the tools they use, and how they measure success. This shows your genuine interest in the position and helps you assess if the company is the right fit for you.
