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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, collaborative culture, and opportunities for professional growth.
- 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: MN Climate Innovation Finance Authority (MNCIFA)
Contact Detail:
MN Climate Innovation Finance Authority (MNCIFA) 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 or data science roles. 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 statistical modelling. This will not only enhance your portfolio but also demonstrate your practical experience with tools like Python or R.
✨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, showcasing your ability to innovate within the field.
✨Tip Number 4
Follow industry leaders and companies on social media platforms like LinkedIn. Engaging with their content can provide insights into the company culture and current challenges in the insurance sector, which can be useful during interviews.
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 passionate about moving into the insurance sector. Discuss how your academic achievements and research align with the role of a Technical Pricing Analyst and how you can contribute to innovative improvements.
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 role, the tools you used, and the outcomes to demonstrate your practical experience.
Proofread Your Application: Before submitting, carefully proofread your application for any errors or typos. A polished application reflects your attention to detail, which is crucial for a role that involves technical analysis.
How to prepare for a job interview at MN Climate Innovation Finance Authority (MNCIFA)
✨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 tackle complex issues.
✨Express Your Passion for Innovation
Convey your enthusiasm for being at the forefront of innovation in the insurance industry. Discuss any ideas you have for improving existing models or introducing new methodologies, showing that you're proactive and forward-thinking.
