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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.
- Benefits: Competitive salary, flexible remote work, and opportunities for professional growth.
- Why this job: Make a real impact in the insurance industry with your analytical skills.
- Qualifications: Strong knowledge of statistical modelling and experience with large datasets.
- Other info: Work in a dynamic environment with excellent career advancement opportunities.
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
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Senior Pricing Analyst (Technical) employer: Arthur Recruitment
Contact Detail:
Arthur Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Pricing Analyst (Technical)
✨Tip Number 1
Network like a pro! Reach out to people in the insurance and data analysis fields. Use LinkedIn to connect with current employees at the company you're eyeing. A friendly message can go a long way in getting your foot in the door.
✨Tip Number 2
Show off your skills! Prepare a portfolio or case studies that highlight your experience with statistical modelling and machine learning. When you get the chance to chat with recruiters, share specific examples of how you've tackled similar challenges in the past.
✨Tip Number 3
Practice makes perfect! Get ready for those interviews by brushing up on common technical questions related to GLMs and GBMs. We recommend doing mock interviews with friends or using online platforms to simulate the real deal.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in the role and the company. Let’s land that Senior Pricing Analyst position together!
We think you need these skills to ace Senior Pricing Analyst (Technical)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Pricing Analyst role. Highlight your experience with statistical modelling and machine learning techniques, as these are key for us. Use specific examples that showcase your skills in Python, SQL, or any relevant software.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Explain why you're passionate about pricing analysis and how your background aligns with our needs. Don’t forget to mention your familiarity with GLMs and GBMs, as we’re keen on those skills.
Showcase Your Data Skills: Since this role involves working with large datasets, make sure to highlight your experience in data analysis. Share any projects where you’ve improved data quality or processes, as this will resonate with us and show your proactive approach.
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. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Arthur Recruitment
✨Know Your Models
Make sure you brush up on your knowledge of statistical modelling techniques, especially Generalized Linear Models (GLMs) and Gradient Boosting Models (GBMs). Be ready to discuss how you've applied these methods in past projects, as this will show your technical expertise.
✨Data Storytelling
Prepare to explain complex data analyses in simple terms. Since you'll need to communicate insights to non-technical audiences, practice how you would present your findings clearly and effectively. Use examples from your experience to illustrate your points.
✨Collaboration is Key
Think about times when you've collaborated with teams or stakeholders to understand their data needs. Be ready to share specific examples of how you’ve worked together to achieve desired modelling outcomes, as this role involves a lot of teamwork.
✨Familiarise with Tools
If you have experience with Willis Towers Watson software like Radar and Emblem, make sure to highlight that. If not, do a bit of research on these tools and be prepared to discuss how you would approach learning them quickly if needed.