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- Tasks: Build and improve advanced pricing models using cutting-edge statistical methods.
- Company: Global insurer dedicated to employee growth and innovation.
- Benefits: Excellent salary, bonuses, hybrid work, and continuous learning opportunities.
- Why this job: Join a passionate team and make a real impact in the insurance industry.
- Qualifications: Experience in statistical modelling, Python, and large data analysis required.
- Other info: Dynamic environment with strong career advancement potential.
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[...] in London 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[...] in London
✨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 skills. Use examples from your past experiences that highlight your technical abilities, especially with GLMs and machine learning techniques.
✨Tip Number 3
Don’t just apply anywhere; focus on companies that align with your values and career goals. We recommend checking out our website for roles that excite you and fit your skill set.
✨Tip Number 4
Follow up after interviews! A quick thank-you email can leave a lasting impression and show your enthusiasm for the role. It’s a simple way to stand out from the crowd.
We think you need these skills to ace Experience real career growth in home pricing within a firm passionate about investing in the f[...] in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the job description. Highlight your experience with statistical modelling methods and any relevant coding languages like Python or SQL. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about home pricing and how you can contribute to our team. We love seeing enthusiasm and a clear understanding of the role.
Showcase Your Technical Skills: Don’t forget to showcase your technical skills, especially in GLMs and machine learning techniques. If you've worked with large data sources or tools like Emblem and Radar, make sure to mention that. We’re keen on candidates who can hit the ground running!
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Actuarial Futures
✨Know Your Numbers
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 used Python or Emblem.
✨Showcase Your Data Skills
Prepare examples that highlight your experience with large data sources and coding languages like SQL or SAS. Think of a time when your analysis led to a significant business insight or improvement in pricing models.
✨Understand the Business
Research the company’s approach to home pricing and their investment in employee growth. Be prepared to discuss how you can contribute to their goals and enhance profitability through your technical skills.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, training programmes, and future projects. This shows your genuine interest in the role and helps you assess if the company is the right fit for you.
