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- Tasks: Lead the development of pricing models and analyses for home insurance.
- Company: Join a major insurer known for innovation in the home insurance market.
- Benefits: Enjoy career growth, competitive salary, and opportunities to work with cutting-edge technology.
- Why this job: Make a real impact on pricing strategies while enhancing your technical skills in a supportive environment.
- Qualifications: Qualified or part-qualified actuary with experience in statistical and machine learning methods.
- Other info: Emblem experience is required; this role is perfect for those eager to advance their careers.
The predicted salary is between 43200 - 72000 £ per year.
Are you a qualified (or part-qualified), technically-astute non-life actuary, looking for your next career development opportunity within the Home Pricing division of a major insurer?
Then look no further.
This is an exceptional opportunity to play a key role in planning and delivering models and analysis that influence and drive the prices our client takes to market.
Assisting with the planning and carrying out of risk model updates, you will continually strive to enhance and improve data and processes.
You will also build and test statistical models and machine learning algorithms, supporting the business in the deployment of its data solutions.
With a good understanding of traditional statistical modelling methods, the successful candidate will also possess experience of more innovative machine learning techniques.
Ideally, successful candidates will have solid knowledge of both statistical modelling methods (GLMs) as well as knowledge of relevant machine learning techniques (GBMs) although experience in one of these would be sufficient.
Emblem experience also required.
So take the next step on your career ladder.
Apply now!
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Contact Detail:
Star Actuarial Futures Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Technical Pricing Analyst - Home Insurance
✨Tip Number 1
Network with professionals in the insurance and actuarial fields. Attend industry events or webinars where you can meet people who work in home insurance pricing. This can help you gain insights into the role and potentially get referrals.
✨Tip Number 2
Familiarise yourself with the latest trends in machine learning and statistical modelling, especially as they relate to home insurance. Being able to discuss recent advancements or case studies during interviews can set you apart from other candidates.
✨Tip Number 3
Prepare to demonstrate your technical skills through practical examples. Be ready to discuss specific projects where you've built or tested models, particularly those that involved GLMs or GBMs, as this will showcase your hands-on experience.
✨Tip Number 4
Research StudySmarter and our approach to data solutions in the insurance sector. Understanding our company culture and values will help you tailor your conversations and show how you can contribute to our goals.
We think you need these skills to ace Lead Technical Pricing Analyst - Home Insurance
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your qualifications and experience relevant to the role of Lead Technical Pricing Analyst. Emphasise your expertise in statistical modelling methods and machine learning techniques, as well as any experience with Emblem.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for the role and the insurance industry. Discuss specific projects or experiences where you successfully applied statistical models or machine learning algorithms, and how they contributed to business outcomes.
Highlight Relevant Skills: In your application, clearly outline your technical skills, particularly in GLMs and GBMs. Mention any tools or programming languages you are proficient in that are relevant to data analysis and model building.
Showcase Continuous Learning: Demonstrate your commitment to professional development by mentioning any relevant courses, certifications, or workshops you have completed. This shows your dedication to staying updated with industry trends and advancements in data solutions.
How to prepare for a job interview at Star Actuarial Futures
✨Showcase Your Technical Skills
Be prepared to discuss your experience with statistical modelling methods and machine learning techniques. Highlight specific projects where you've successfully applied GLMs or GBMs, and be ready to explain your thought process and the outcomes.
✨Understand the Company’s Products
Research the home insurance products offered by the company. Understanding their pricing strategies and how they utilise data can help you tailor your responses and demonstrate your genuine interest in the role.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities. Prepare examples of how you've tackled challenges in previous roles, particularly those related to risk model updates or data enhancement processes.
✨Ask Insightful Questions
At the end of the interview, ask questions that show your enthusiasm for the role and the company. Inquire about the team dynamics, ongoing projects, or how they envision the future of pricing models in home insurance.
