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For Companies At a Glance
- Tasks: Lead pricing strategies for Commercial Vehicles and drive innovative data solutions.
- Company: Join a rapidly growing team in a dynamic insurance environment.
- Benefits: Flexible remote work, competitive salary, and opportunities for professional growth.
- Other info: Collaborative culture with a focus on innovation and continuous improvement.
- Why this job: Make an impact by shaping pricing strategies and mentoring future leaders.
- Qualifications: Experience in insurance pricing and proficiency in data science programming.
The predicted salary is between 60000 - 80000 £ per year.
Location: Primarily remote with occasional travel. Offices located in Haywards Heath, London and Manchester.
Role Overview
We are seeking an experienced Risk Pricing Manager to join a quickly growing and developing pricing department focusing on Motor and in particular Commercial Vehicle. As a Pricing Manager in the Motor Risk Pricing team, you will be responsible for the pricing of Commercial Vehicles, including the following core activities:
- Be a key stakeholder influencing the direction capturing and explaining trends with innovative data features.
- Clearly communicate results and proposed actions to key decision makers across the business.
- Champion and facilitate automation of reporting, data pipelines and quality assurance.
- Manage, coach and mentor team members, driving a culture of development and excellence across the team.
- Collaborate with peers in Pricing, Underwriting and Data Science and Machine Learning.
Key Skills and Experience
- Experience managing general insurance products and/or pricing teams, including knowledge of current trends and issues in motor or home pricing.
- Experience with some of the following predictive modelling techniques; GLMs, GBMs, Elastic Net GLMs, GAMs, Decision Trees, Random Forests, Neural Nets and Clustering, with knowledge of the technical differences between different packages for some of these model types would be an advantage.
- Experience in statistical and data science programming languages (e.g. Python, PySpark, R, SAS, SQL).
- Experience of WTW's Radar software is preferred.
- Proficient at communicating results in a concise manner both verbally and written.
- A good quantitative degree would be preferred but is not essential (Mathematics, Statistics, Engineering, Physics, Computer Science, Actuarial Science).
Behaviours
- Good communication and people management skills.
- Driven to deliver iterative improvements in a timely fashion.
- Self-motivated with a drive to learn and develop.
- Logical thinker with a professional and positive attitude.
- Passion to innovate, improve processes and challenge the norm.
CV Technical Pricing Manager employer: Vermelo
Contact Detail:
Vermelo Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land CV Technical Pricing Manager
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend relevant events, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Prepare for interviews by practising common questions and scenarios related to pricing and data analysis. Use real-life examples from your experience to showcase your skills and how you can contribute to the team.
✨Tip Number 3
Don’t underestimate the power of follow-ups! After an interview, send a quick thank-you email to express your appreciation and reiterate your interest in the role. It keeps you fresh in their minds and shows your enthusiasm.
✨Tip Number 4
Apply through our website for the best chance at landing that dream job! We love seeing candidates who are proactive and engaged with our platform. Plus, it makes it easier for us to track your application.
We think you need these skills to ace CV Technical Pricing Manager
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the role of CV Technical Pricing Manager. Highlight your experience with general insurance products and any relevant predictive modelling techniques. We want to see how your skills align with what we're looking for!
Showcase Your Communication Skills: Since clear communication is key in this role, ensure your written application reflects your ability to convey complex ideas simply. Use concise language and structure your thoughts logically – it’ll make a great impression on us!
Highlight Team Management Experience: If you've managed or mentored teams before, don’t hold back! Share specific examples of how you’ve driven development and excellence within your team. We love seeing candidates who can inspire and lead others.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Vermelo
✨Know Your Numbers
As a CV Technical Pricing Manager, you'll need to demonstrate your understanding of pricing models and data analysis. Brush up on predictive modelling techniques like GLMs and Decision Trees, and be ready to discuss how you've applied these in past roles. This shows you’re not just familiar with the concepts but can also implement them effectively.
✨Communicate Clearly
You’ll be communicating results to key decision-makers, so practice explaining complex data insights in simple terms. Use examples from your experience where you successfully conveyed technical information to non-technical stakeholders. This will highlight your ability to bridge the gap between data and business decisions.
✨Show Your Leadership Skills
Since managing and mentoring team members is part of the role, prepare to discuss your leadership style. Think of specific instances where you’ve coached someone or driven a culture of excellence. This will demonstrate your capability to lead and inspire a team towards achieving their goals.
✨Be Ready to Innovate
The role requires a passion for innovation and process improvement. Come prepared with ideas on how you would automate reporting or enhance data pipelines. Discuss any previous experiences where you challenged the norm and implemented successful changes, as this will show your proactive approach to problem-solving.