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- Tasks: Build and improve advanced technical pricing models using GLMs and machine learning.
- Company: Join a global insurer committed to your career growth and development.
- Benefits: Continuous learning, top training programmes, and competitive salary.
- Why this job: Be at the forefront of technical pricing and make a real impact.
- Qualifications: Experience in statistical modelling, Python, SQL, and large data sources.
- Other info: Exciting opportunity with excellent career prospects in a market-leading firm.
The predicted salary is between 36000 - 60000 £ per year.
Be at the cutting edge of technical pricing within a firm which will invest in your career and development. Are you a talented technical GI pricing analyst with good knowledge of statistical modelling methods, in particular GLMs? Then this is an exceptional opportunity to join a global insurer which will invest in your future by offering you continuous learning and top training programmes.
Joining our client's motor 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.
Be at the cutting edge of technical pricing within a firm which will invest in your career and [...] employer: Actuarial Futures
Contact Detail:
Actuarial Futures Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Be at the cutting edge of technical pricing within a firm which will invest in your career and [...]
✨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
Show off your skills! Create a portfolio showcasing your technical pricing models and any projects you've worked on. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your GLM and machine learning knowledge. Be ready to discuss how you've used these techniques in past roles and how they can benefit the company you're applying to.
✨Tip Number 4
Apply through our website! We make it easy for you to find the right role that matches your skills and aspirations. Plus, it shows you're genuinely interested in joining our team.
We think you need these skills to ace Be at the cutting edge of technical pricing within a firm which will invest in your career and [...]
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with statistical modelling methods, especially GLMs and machine learning techniques. We want to see how your skills can contribute to our cutting-edge pricing models!
Tailor Your Application: Don’t just send a generic CV and cover letter. Take the time to tailor your application to our specific job description. Mention your familiarity with tools like Python, SQL, and Emblem to catch our eye!
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 directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity in our motor pricing team!
How to prepare for a job interview at Actuarial Futures
✨Know Your Models
Make sure you brush up on your knowledge of statistical modelling methods, especially Generalised Linear Models (GLMs) and machine learning techniques like Gradient Boosting Machines (GBMs). Be ready to discuss how you've applied these in past roles, as well as any specific projects where you've built or improved pricing models.
✨Showcase Your Technical Skills
Since the role requires proficiency in Python, SQL, and Advanced Excel, prepare to demonstrate your skills. You might be asked to solve a problem on the spot or explain your approach to data analysis. Practising coding challenges or reviewing your past work can help you feel more confident.
✨Understand the Business Impact
Be prepared to discuss how your work in technical pricing can enhance profitability and competitiveness. Think about examples where your pricing models have led to significant business insights or adjustments. This shows that you understand the bigger picture and can contribute strategically.
✨Ask Insightful Questions
Interviews are a two-way street, so come armed with questions that show your interest in the company and the role. Ask about their approach to continuous learning and development, or how they integrate new technologies into their pricing strategies. This not only demonstrates your enthusiasm but also helps you gauge if the company is the right fit for you.
