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- Tasks: Lead pricing analysis and model updates for home insurance, focusing on data improvement.
- Company: Join a top Personal Lines Insurer known for innovation in the insurance sector.
- Benefits: Enjoy remote work flexibility with only 1-2 days in-office each month.
- Why this job: Be part of a dynamic team driving data-driven decisions and enhancing modeling techniques.
- Qualifications: 4+ years in general insurance, strong in statistical modeling and programming (Python, SQL).
- Other info: Experience with Willis Towers Watson software is a plus.
The predicted salary is between 48000 - 72000 £ per year.
This role is largely remote with 1/2 days required per month.
Consultant at Arthur | Pricing | Actuary | Quantitative Risk | Insurance
I am working with a leading Personal Lines Insurer seeking a Principal/Lead Pricing analyst within their technical (Home) team. The ideal candidate will have a strong model background and at least 4 years within the general Insurance sector.
Responsibilities:
- Contribute to planning and executing risk model updates, with a focus on continuous improvement in data and processes.
- Collaborate with various teams and stakeholders to understand their needs, data requirements, and anticipated modeling outcomes.
- Engage directly with data, from its source through modeling stages, and ultimately in rating implementation.
- Develop and validate statistical models and machine learning algorithms.
Requirements:
- Strong expertise in statistical modeling methods, particularly Generalised Linear Models (GLMs).
- Familiarity with machine learning techniques, especially Gradient Boosting Machines (GBMs).
- Proficient in programming languages such as Python, SQL, SAS, or similar.
- Experience with Willis Towers Watson software, such as Radar or Emblem.
Seniority level
Associate
Employment type
Full-time
Job function
Finance
Industries
Insurance
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Principal Pricing - Technical employer: Arthur Recruitment
Contact Detail:
Arthur Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Principal Pricing - Technical
✨Tip Number 1
Make sure to showcase your experience with statistical modeling methods, especially GLMs, during any discussions. Highlight specific projects where you've successfully implemented these techniques.
✨Tip Number 2
Familiarize yourself with the latest trends in machine learning, particularly GBMs. Being able to discuss recent advancements or applications in this area can set you apart from other candidates.
✨Tip Number 3
Since this role involves collaboration with various teams, prepare examples of how you've effectively communicated complex data insights to non-technical stakeholders in the past.
✨Tip Number 4
If you have experience with Willis Towers Watson software like Radar or Emblem, be ready to discuss how you've utilized these tools in your previous roles. This knowledge can be a significant advantage.
We think you need these skills to ace Principal Pricing - Technical
Some tips for your application 🫡
Highlight Relevant Experience: Make sure to emphasize your experience in the general insurance sector, particularly any roles that involved statistical modeling and machine learning. Detail your familiarity with Generalised Linear Models (GLMs) and Gradient Boosting Machines (GBMs) in your CV.
Showcase Technical Skills: Clearly list your proficiency in programming languages such as Python, SQL, and SAS. If you have experience with Willis Towers Watson software like Radar or Emblem, be sure to mention it prominently.
Tailor Your Cover Letter: In your cover letter, discuss how your background aligns with the responsibilities of the role. Mention specific projects where you contributed to risk model updates or collaborated with teams to meet data requirements.
Demonstrate Continuous Improvement Mindset: Illustrate your commitment to continuous improvement in data and processes. Provide examples of how you've implemented changes or improvements in past roles, especially related to modeling outcomes.
How to prepare for a job interview at Arthur Recruitment
✨Showcase Your Technical Skills
Make sure to highlight your expertise in statistical modeling methods, especially Generalised Linear Models (GLMs) and machine learning techniques like Gradient Boosting Machines (GBMs). Be prepared to discuss specific projects where you applied these skills.
✨Demonstrate Collaboration Experience
Since the role involves working with various teams and stakeholders, share examples of how you've successfully collaborated in the past. Discuss how you gathered data requirements and aligned modeling outcomes with team needs.
✨Prepare for Data Discussions
Engage with the interviewers about your experience handling data from its source through modeling stages. Be ready to explain your approach to data validation and how you ensure accuracy in rating implementation.
✨Familiarize Yourself with Relevant Software
If you have experience with Willis Towers Watson software like Radar or Emblem, make sure to mention it. If not, do some research on these tools and be prepared to discuss how you would approach learning them quickly.
