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- Tasks: Develop and execute pricing models using statistical techniques and machine learning.
- Company: Leading personal lines insurer with a focus on innovation.
- Benefits: Remote work flexibility, competitive salary, and opportunities for professional growth.
- Why this job: Join a dynamic team and influence market pricing strategies in the insurance sector.
- Qualifications: Expertise in GLMs, GBMs, Python, and SQL required.
- Other info: Collaborative environment with opportunities to present insights to diverse teams.
The predicted salary is between 43200 - 72000 £ per year.
A leading personal lines insurer is seeking a Senior Pricing Analyst for their Home insurance team. The ideal candidate will develop and execute models, utilizing statistical modeling and machine learning to enhance market pricing strategies. This largely remote position requires expertise in GLMs and GBMs, alongside proficiency in Python and SQL. You will collaborate with various teams, refine risk models, and analyze large datasets, making insights accessible to non-technical stakeholders.
Senior Pricing Analyst — Remote with London visits employer: Arthur Recruitment
Contact Detail:
Arthur Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Pricing Analyst — Remote with London visits
✨Tip Number 1
Network like a pro! Reach out to folks in the insurance and data analysis sectors on LinkedIn. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your statistical models and any projects you've done with Python and SQL. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your GLMs and GBMs knowledge. Be ready to discuss how you've used these in past roles, and think about how you can apply them to enhance pricing strategies.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive!
We think you need these skills to ace Senior Pricing Analyst — Remote with London visits
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with GLMs, GBMs, Python, and SQL. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about pricing analysis and how your background makes you the perfect fit for our Home insurance team. Keep it engaging and personal!
Showcase Your Analytical Skills: In your application, give examples of how you've used statistical modelling and machine learning in past roles. We love seeing real-world applications of your skills, so don’t hold back on the details!
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 the role. Plus, it’s super easy to do!
How to prepare for a job interview at Arthur Recruitment
✨Know Your Models
Brush up on your knowledge of Generalised Linear Models (GLMs) and Generalised Boosted Models (GBMs). Be ready to discuss how you've applied these in past roles, as well as any specific projects where you used statistical modelling to influence pricing strategies.
✨Showcase Your Coding Skills
Since proficiency in Python and SQL is key for this role, prepare to demonstrate your coding skills. You might be asked to solve a problem on the spot, so practice writing clean, efficient code and be ready to explain your thought process.
✨Communicate Clearly
You'll need to make complex data insights accessible to non-technical stakeholders. Practice explaining your past projects in simple terms, focusing on the impact of your work rather than the technical details. This will show your ability to bridge the gap between data and decision-making.
✨Collaborative Mindset
This role involves working with various teams, so be prepared to discuss your experience in collaboration. Think of examples where you’ve worked cross-functionally, highlighting how you contributed to team success and adapted to different perspectives.
