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- Tasks: Develop and execute pricing models for home insurance using advanced statistical techniques.
- Company: Leading personal lines insurer with a focus on innovation and collaboration.
- Benefits: Flexible remote work, competitive salary, and opportunities for professional growth.
- Why this job: Join a dynamic team and make a real impact in the insurance industry.
- Qualifications: Strong knowledge of statistical modelling and experience with large datasets.
- Other info: Work largely remotely with occasional office days in London.
The predicted salary is between 48000 - 72000 £ per year.
I am working with a leading personal lines insurer seeking a Senior Pricing Analyst within their Home insurance team. The successful candidate will be instrumental in developing and executing models and analyses that form the foundation of market pricing. This role requires a strong grasp of statistical modeling methods, along with expertise in advanced machine learning techniques. Largely remote working with 1/2 days in the London office per month.
Responsibilities
- Contribute to the planning and execution of risk model updates, continuously improving data quality and processes.
- Collaborate with teams and stakeholders to understand their requirements, data needs, and desired modeling outcomes.
- Engage with data from sourcing through to modeling and implementation in rating.
- Analyse data, interpret outputs, and effectively communicate insights to non-technical audiences.
Requirements
- Strong knowledge of statistical modeling techniques, especially Generalized Linear Models (GLMs).
- Familiarity with machine learning methods, particularly Gradient Boosting Models (GBMs).
- Demonstrated experience working with large datasets.
- Proficient in Python, SQL, SAS, or similar programming languages.
- Experience with Willis Towers Watson software, including Radar and Emblem.
Senior Pricing Analyst (Technical) in London employer: Arthur Recruitment
Contact Detail:
Arthur Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Pricing Analyst (Technical) in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the insurance and data analysis fields. A friendly chat can lead to insider info about job openings or even a referral, which can give you a leg up in the application process.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your statistical modelling projects or any machine learning techniques you've mastered. This will help you stand out during interviews and demonstrate your expertise in a tangible way.
✨Tip Number 3
Practice makes perfect! Get ready for those technical interviews by brushing up on your Python, SQL, and statistical modelling knowledge. Consider mock interviews with friends or use online platforms to simulate the experience.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for you, and applying directly can sometimes speed up the process. Plus, it shows you're genuinely interested in joining our team!
We think you need these skills to ace Senior Pricing Analyst (Technical) in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with statistical modelling and machine learning techniques. We want to see how your skills align with the role, so don’t be shy about showcasing your expertise in GLMs and GBMs!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for the Senior Pricing Analyst role. Share specific examples of your past work that demonstrate your ability to analyse data and communicate insights effectively.
Showcase Your Technical Skills: Since this role requires proficiency in Python, SQL, or SAS, make sure to mention any relevant projects or experiences where you’ve used these tools. We love seeing candidates who can hit the ground running with their technical know-how!
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 don’t miss out on any important updates during the process. Plus, we love seeing applications come in through our own platform!
How to prepare for a job interview at Arthur Recruitment
✨Know Your Models
Make sure you brush up on your statistical modelling techniques, especially Generalized Linear Models (GLMs). Be ready to discuss how you've applied these in past roles and be prepared to explain complex concepts in simple terms.
✨Showcase Your Data Skills
Since this role involves working with large datasets, come armed with examples of how you've handled data in the past. Highlight your proficiency in Python, SQL, or SAS, and be ready to discuss specific projects where you used these skills.
✨Understand the Business
Familiarise yourself with the home insurance market and the specific challenges it faces. This will help you engage meaningfully with stakeholders and demonstrate that you understand their needs and how your work can impact the business.
✨Communicate Clearly
You'll need to convey technical insights to non-technical audiences, so practice explaining your analyses in layman's terms. Think about how you can make your findings relatable and actionable for different stakeholders.
