At a Glance
- Tasks: As a Pricing Analyst, you'll analyse data to shape innovative pricing models and monitor portfolio performance.
- Company: Join a fast-growing company in personal lines underwriting, making a real impact on pricing strategies.
- Benefits: Enjoy hybrid work options, opportunities for growth, and a dynamic team culture.
- Why this job: This role offers a chance to innovate, collaborate with experts, and contribute to meaningful financial outcomes.
- Qualifications: A quantitative degree and experience in predictive modelling and programming languages like R or Python are preferred.
- Other info: Ideal for self-motivated individuals eager to learn and challenge the status quo.
The predicted salary is between 28800 - 48000 £ per year.
Location: The role is hybrid and would require you to be commutable to either Manchester, London or Haywards Heath.
Role Overview
We have an exciting new role available for a Portfolio Pricing Analyst to join our team within our rapidly growing personal lines underwriting. It’s the perfect opportunity for someone looking to progress with a fast-growing company and make their mark on shaping our pricing models.
As a Pricing Analyst, you will use your advanced analytical skills to:
- Monitor our portfolio and deliver innovative pricing solutions.
- Use a blend of predictive analytics and commercial acumen to distil key trends and identify pricing actions.
- Contribute to the profitability of the products by meeting loss ratio targets and protecting capacity providers’ financial results by balancing product volume and profitability.
The Pricing portfolio management team is responsible for developing new modelling techniques and processes and building and refreshing the risk models that underpin our rates that need to operate effectively in the aggregator channels.
Key Responsibilities:
- Support the design, development and implementation of a robust and innovative performance monitoring framework.
- Contribute to the continuous pricing cycle including development and deployment of tactical pricing initiatives, price optimisation proposals and price change opportunity & impact analytics.
- Work closely with the Underwriting team on risk appetite, product development and innovation supporting progression by providing performance and market analytical insight.
- Work closely with the Technical Modelling team on peril risk cost models ensuring product performance dynamics are suitably captured and fed back in technical models.
- Contribute to delivery of the pricing roadmap in line with the vision and long-term goals of the company.
Key Skills and Experience:
- Previous experience within Personal Lines Pricing is advantageous.
- Experience with some of the following predictive modelling techniques; Logistic Regression, GBMs, Elastic Net GLMs, GAMs, Decision Trees, Random Forests, Neural Nets and Clustering.
- Experience in statistical and data science programming languages (e.g. R, Python, PySpark, SAS, SQL).
- A good quantitative degree (Mathematics, Statistics, Engineering, Physics, Computer Science, Actuarial Science).
- Experience of WTW’s Radar and Emblem software is preferred.
- Proficient at communicating results in a concise manner both verbally and written.
Behaviours:
- 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.
Pricing Analyst employer: Vermelo RPO
Contact Detail:
Vermelo RPO Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Pricing Analyst
✨Tip Number 1
Familiarise yourself with the latest trends in personal lines pricing and predictive analytics. This will not only help you understand the role better but also allow you to engage in meaningful conversations during interviews.
✨Tip Number 2
Network with professionals in the insurance and pricing sectors. Attend industry events or join relevant online forums to connect with others who can provide insights or even refer you to opportunities at StudySmarter.
✨Tip Number 3
Brush up on your programming skills, especially in R, Python, or SQL. Being able to demonstrate your proficiency in these languages during discussions can set you apart from other candidates.
✨Tip Number 4
Prepare to discuss specific examples of how you've used analytical skills to drive pricing decisions in previous roles. Real-world applications of your knowledge will showcase your capability and fit for the team.
We think you need these skills to ace Pricing Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in personal lines pricing and any specific predictive modelling techniques you've used. Emphasise your analytical skills and any programming languages you are proficient in, such as R or Python.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention how your background aligns with the responsibilities of the Pricing Analyst position, particularly your experience with performance monitoring frameworks and pricing optimisation.
Showcase Your Analytical Skills: Provide examples in your application that demonstrate your advanced analytical skills. Discuss specific projects where you have successfully identified trends or implemented pricing actions that contributed to profitability.
Highlight Your Communication Skills: Since the role requires effective communication of results, include instances where you've presented complex data or insights clearly and concisely, both verbally and in writing. This will show your ability to collaborate with teams effectively.
How to prepare for a job interview at Vermelo RPO
✨Showcase Your Analytical Skills
As a Pricing Analyst, your analytical skills are crucial. Be prepared to discuss specific examples of how you've used predictive modelling techniques in past roles. Highlight your experience with tools like R or Python and how you've applied them to solve real-world problems.
✨Understand the Company’s Pricing Strategy
Research the company's current pricing models and strategies. Familiarise yourself with their products and market position. This will not only show your interest but also allow you to ask insightful questions during the interview.
✨Prepare for Technical Questions
Expect technical questions related to statistical methods and data analysis. Brush up on key concepts such as Logistic Regression and Decision Trees. Being able to explain these clearly will demonstrate your expertise and confidence in the field.
✨Demonstrate Your Communication Skills
Since the role requires effective communication with various teams, practice explaining complex analytical concepts in simple terms. Prepare to discuss how you've successfully communicated results in previous roles, both verbally and in writing.