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- Tasks: Build and improve advanced pricing models using GLMs and machine learning techniques.
- Company: Global insurer passionate about employee growth and development.
- Benefits: Excellent salary, bonuses, hybrid work, and continuous training opportunities.
- Why this job: Join a dynamic team and make a real impact in the insurance industry.
- Qualifications: Experience in statistical modelling, Python, SQL, and large data sources.
- Other info: Exciting career growth in a market-leading firm.
The predicted salary is between 36000 - 60000 £ per year.
Experience real career growth in home pricing within a firm passionate about investing in the future of its employees.
Are you a talented technical GI pricing analyst with good knowledge of statistical modelling methods (in particular GLMs), looking to join the home pricing team of a global insurer? Then this is an exceptional opportunity to experience real career growth within a firm passionate about investing in the future of its employees by offering continuous learning and top training programmes.
Joining our client's home pricing team, you will be responsible for building, implementing and improving advanced technical pricing models to enhance profitability and competitiveness, and to provide business insight. In order to do this, you will utilise both traditional GLM techniques using Emblem as well as machine learning (GBM) techniques via Python. You will also be involved in the back-testing and analysis of the impact of pricing models in order to propose necessary adjustments to the price.
With knowledge of relevant machine learning techniques (in particular GBMs), the successful candidate will possess proven experience in working with large data sources. A good command of Advanced Excel, Python, SQL, SAS, Databricks or similar coding languages is essential as is experience of WTW’s Radar and Emblem.
An exciting opportunity within a market-leading firm.
Experience real career growth in home pricing within a firm passionate about investing in the f[...] employer: Actuarial Futures
Contact Detail:
Actuarial Futures Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Experience real career growth in home pricing within a firm passionate about investing in the f[...]
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Prepare for interviews by practising common questions and showcasing your technical skills. Be ready to discuss your experience with GLMs, Python, and any relevant projects you've worked on. Confidence is key!
✨Tip Number 3
Follow up after interviews! A quick thank-you email can set you apart from other candidates. It shows your enthusiasm for the role and keeps you fresh in their minds.
✨Tip Number 4
Don’t forget to apply through our website! We’re passionate about investing in our employees' futures, and applying directly can give you an edge. Plus, it’s super easy to keep track of your applications!
We think you need these skills to ace Experience real career growth in home pricing within a firm passionate about investing in the f[...]
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experience mentioned in the job description. Highlight your knowledge of statistical modelling methods and any relevant coding languages like Python or SQL. We want to see how you fit into our home pricing team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about this role and how your background aligns with our goals. Don’t forget to mention your experience with GLMs and machine learning techniques – we love that stuff!
Showcase Your Technical Skills: Since we're looking for someone with strong technical skills, make sure to include specific examples of projects where you've used Emblem, GBM, or any other relevant tools. We want to know how you've applied your knowledge in real-world scenarios!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Actuarial Futures
✨Know Your Numbers
Make sure you brush up on your statistical modelling methods, especially GLMs and GBMs. Be ready to discuss how you've applied these techniques in past roles, as well as any specific projects where you’ve built or improved pricing models.
✨Showcase Your Coding Skills
Since the role requires proficiency in Python, SQL, and possibly SAS, prepare to demonstrate your coding abilities. You might be asked to solve a problem on the spot, so practice coding challenges beforehand to boost your confidence.
✨Understand the Business Impact
Be prepared to talk about how your work in pricing can enhance profitability and competitiveness. Think of examples where your analysis led to actionable insights or adjustments in pricing strategies that benefited your previous employer.
✨Ask Insightful Questions
At the end of the interview, don’t shy away from asking questions. Inquire about the team’s current projects, the tools they use, or how they measure success in their pricing models. This shows your genuine interest in the role and helps you gauge if it’s the right fit for you.
