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- Tasks: Develop predictive models and innovative risk cost models in a dynamic team.
- Company: Join a market-leading home & motor insurer focused on innovation.
- Benefits: Enjoy competitive pay, potential remote work, and a collaborative environment.
- Why this job: Be at the forefront of insurance innovation with a team of like-minded PhD candidates.
- Qualifications: Strong STEM background, experience in Python or R, and an exceptional academic record required.
- Other info: Confidential discussions available; reach out to learn more!
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: Financial Women’s Association
Contact Detail:
Financial Women’s Association 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 meet potential colleagues and learn about the latest trends in predictive modelling.
✨Tip Number 2
Showcase your technical skills by participating in online coding challenges or contributing to open-source projects related to machine learning. This will not only enhance your skills but also demonstrate your commitment to continuous learning.
✨Tip Number 3
Prepare for interviews by familiarising yourself with common technical questions related to gradient boosting and machine learning. Practise explaining complex concepts in simple terms, as this will be crucial when discussing your research background.
✨Tip Number 4
Stay updated on the latest developments in the insurance sector, particularly how data science is being applied. This knowledge will help you engage in meaningful conversations during interviews and show your enthusiasm for the role.
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're 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.
Proofread Your Application: Before submitting, carefully proofread your application materials. Look for any spelling or grammatical errors, and ensure that your formatting is consistent and professional.
How to prepare for a job interview at Financial Women’s Association
✨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 used these languages, especially in developing predictive models or machine learning applications.
✨Demonstrate Your Research Background
Since the role requires a strong research background, be ready to talk about your PhD work. Focus on how your research can translate into practical applications within the insurance sector, particularly in risk cost modelling.
✨Prepare for Problem-Solving Questions
Expect to face technical questions that assess your problem-solving abilities. Practice explaining your thought process clearly and logically, as this will demonstrate your analytical skills and ability to think critically under pressure.
✨Express Your Passion for Innovation
The company is looking for candidates who are eager to be at the forefront of innovation. Share examples of how you've contributed to innovative projects in the past and express your enthusiasm for applying new technologies in the insurance industry.
