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- Tasks: Build and enhance advanced pricing models using GLMs and machine learning techniques.
- Company: Global insurer with a focus on innovation in motor pricing.
- Benefits: Excellent career development opportunities and competitive salary.
- Why this job: Join a dynamic team and make an impact in the insurance industry.
- Qualifications: Strong statistical modelling skills and proficiency in Python and SQL.
- Other info: Located in the heart of the UK, perfect for career growth.
The predicted salary is between 36000 - 60000 £ per year.
A global insurer is seeking a talented technical pricing analyst to join their motor pricing team. You will be responsible for building and improving advanced pricing models using GLMs and machine learning techniques.
Successful candidates will have:
- Strong statistical modelling skills
- Experience with large data sets
- Proficiency in Python, SQL, and other relevant coding languages
This role offers excellent career development opportunities and is situated in the heart of the United Kingdom.
Technical Pricing Analyst: ML & GLM Modeling in Insurance employer: Actuarial Futures
Contact Detail:
Actuarial Futures Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Technical Pricing Analyst: ML & GLM Modeling in Insurance
✨Tip Number 1
Network like a pro! Reach out to professionals in the insurance and pricing fields on LinkedIn. A friendly message can go a long way, and you never know who might have the inside scoop on job openings.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your statistical modelling projects, especially those using GLMs and machine learning. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your Python and SQL skills. Be ready to discuss how you've used these tools in past projects. We recommend practicing common technical questions to boost your confidence!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Technical Pricing Analyst: ML & GLM Modeling in Insurance
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your statistical modelling skills and experience with large data sets in your application. We want to see how you’ve used Python, SQL, and other coding languages in real-world scenarios.
Tailor Your Application: Don’t just send a generic CV and cover letter! Tailor your application to the role by mentioning specific projects or experiences that relate to GLMs and machine learning techniques. This shows us you’re genuinely interested.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured applications that make it easy for us to see your qualifications and enthusiasm for the role.
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to track your application status directly!
How to prepare for a job interview at Actuarial Futures
✨Know Your Models
Make sure you brush up on your knowledge of GLMs and machine learning techniques. Be prepared to discuss how you've applied these in past projects, as well as any challenges you faced and how you overcame them.
✨Showcase Your Coding Skills
Since proficiency in Python and SQL is key for this role, be ready to demonstrate your coding abilities. You might be asked to solve a problem on the spot, so practice common coding challenges related to data manipulation and statistical analysis.
✨Understand the Insurance Landscape
Familiarise yourself with the current trends in motor insurance pricing. Being able to discuss how external factors influence pricing models will show that you’re not just technically skilled but also understand the industry context.
✨Prepare Questions
Interviews are a two-way street! Prepare insightful questions about the team, the company’s approach to pricing, and opportunities for career development. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.
