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For Companies At a Glance
- Tasks: Shape pricing models and conduct analysis to optimise retail prices.
- Company: Join Markerstudy Group, a leader in the insurance industry.
- Benefits: Enjoy flexible working options and opportunities for professional growth.
- Why this job: Be part of a dynamic team driving innovation in pricing strategies.
- Qualifications: Experience in general insurance pricing and proficiency in data science tools required.
- Other info: Ideal for self-motivated individuals eager to challenge the status quo.
The predicted salary is between 48000 - 72000 £ per year.
Locations: Manchester (flexible)
Role Overview
Markerstudy Group are looking for a Senior Pricing Analyst to help build and shape our pricing models. You will help monitor our portfolio and deliver innovative pricing solutions within the Retail Pricing team. Joining our retail pricing team, you will be keeping a close eye on trading across different channels and insurance products. You will have previous experience in general insurance pricing and be familiar with the tools of the trade, such as SAS, Python, RStudio, SQL, Emblem and Radar. With your naturally inquisitive mindset, you will be well versed in the UK personal lines insurance space, and understand how the personal lines insurance market works. Always open to change, you have a keen eye for the continuous improvement of process.
As a Senior Pricing Analyst, you will use your advanced analytical skills to:
- Conduct retail price optimisation analysis/modelling
- Develop customer propensity and Life Time Value (LTV) models to produce the different models and SAS or SQL for data analysis
- Create innovative data solutions finding new ways to mine insight & present data
- Build and maintain sophisticated models, prioritising a range of data science techniques
- Advance the adoption of data science & statistical techniques
- Communicate results to key decision makers across the business for action based on the results of pricing analysis
- Collaborate with peers in pricing, underwriting and data science
- Generate insight to help make commercial decisions and strategic changes to prices to meet budget requirements.
Key Skills and Experience:
- Previous experience within general insurance pricing
- 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 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
Senior Pricing Analyst employer: Vermelo RPO
Contact Detail:
Vermelo RPO Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Pricing Analyst
✨Tip Number 1
Familiarise yourself with the latest trends in the UK personal lines insurance market. Understanding current market dynamics will not only help you during interviews but also demonstrate your genuine interest in the role.
✨Tip Number 2
Network with professionals in the insurance pricing field, especially those who have experience with tools like SAS, Python, and SQL. Engaging in conversations can provide insights into the role and may even lead to referrals.
✨Tip Number 3
Brush up on your predictive modelling techniques, particularly those mentioned in the job description such as Logistic Regression and Decision Trees. Being able to discuss these methods confidently will set you apart from other candidates.
✨Tip Number 4
Prepare to showcase your analytical skills through practical examples. Think of specific instances where you've successfully used data analysis to drive decisions or improve processes, as this will resonate well with the hiring team.
We think you need these skills to ace Senior Pricing Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in general insurance pricing and showcases your proficiency with tools like SAS, Python, and SQL. Use specific examples to demonstrate your analytical skills and familiarity with predictive modelling techniques.
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 Senior Pricing Analyst position, particularly your experience with data analysis and model development.
Showcase Your Analytical Skills: Provide concrete examples of past projects where you conducted price optimisation analysis or developed customer propensity models. Highlight any innovative data solutions you created and how they impacted business decisions.
Prepare for Potential Questions: Anticipate questions related to your experience with statistical techniques and data science programming languages. Be ready to discuss how you've used these skills in previous roles and how they can benefit the retail pricing team.
How to prepare for a job interview at Vermelo RPO
✨Showcase Your Analytical Skills
As a Senior Pricing Analyst, your analytical skills are crucial. Be prepared to discuss specific examples of how you've used tools like SAS, Python, or SQL in previous roles. Highlight any innovative pricing models you've developed and the impact they had on the business.
✨Demonstrate Industry Knowledge
Familiarity with the UK personal lines insurance market is essential. Brush up on current trends and challenges in the industry. During the interview, reference your understanding of how pricing strategies can influence market dynamics and customer behaviour.
✨Prepare for Technical Questions
Expect technical questions related to predictive modelling techniques such as Logistic Regression or Decision Trees. Be ready to explain these concepts clearly and how you've applied them in your work. This will show your depth of knowledge and practical experience.
✨Communicate Effectively
Strong communication skills are vital for this role. Practice summarising complex data insights in a concise manner. Prepare to discuss how you've communicated results to decision-makers in the past, ensuring you can convey your findings clearly and persuasively.
