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- Tasks: Develop pricing strategies and analyse data to drive innovation in insurance pricing.
- Company: Join a dynamic insurance firm focused on competitive pricing and market alignment.
- Benefits: Enjoy a competitive salary, flexible work options, and opportunities for professional growth.
- Why this job: Be part of a collaborative team that values data-driven decisions and innovation.
- Qualifications: Experience in General Insurance and a degree in a quantitative field are essential.
- Other info: This role requires strong analytical skills and proficiency in data analysis tools.
The predicted salary is between 24000 - 40000 £ per year.
My Client is on the search for a Technical Pricing Analyst to develop models and drive innovation in their pricing practices.
Key Responsibilities:
- Develop and implement competitive pricing strategies to maximise quote volume and conversion rates.
- Analyse net loss ratio and implement changes to achieve target position.
- Perform detailed analysis of sales data and customer demographics to identify trends and opportunities for improvement.
- Use statistical and machine learning techniques to refine pricing models and ensure alignment with market conditions.
- Prepare regular reports and presentations for senior management, highlighting performance trends and recommending pricing adjustments to achieve goals.
- Work closely with the Commercial team to align pricing strategies with sales targets and any partner requirements.
- Liaise with the Product and Underwriting teams to ensure that pricing changes are consistent with product coverage and regulatory requirements.
- Support the retail team with pricing changes and model improvements.
Key Requirements:
- Experience within General Insurance is essential.
- Degree in Mathematics, Statistics, Economics, Actuarial Science, or a related quantitative field.
- Experience in building technical risk models.
- Proficient in data analysis tools such as SAS, SQL, Python, R etc.
- Proficient in pricing software (e.g. Earnix, Akur8, Emblem, Radar etc.) and rating engines is a strong advantage.
- Understanding of statistical modelling techniques.
- Strong analytical mindset with the ability to interpret complex data and make data-driven decisions.
- Excellent attention to detail and the ability to identify trends and anomalies in large datasets.
- Strong written and verbal communication skills, with the ability to present complex information clearly to both technical and non-technical stakeholders.
- Proven ability to work collaboratively in cross-functional teams and build and sustain strong working relationships with a variety of stakeholders.
Send your CV to nmohamed@merje.com
*Please note- Sponsorship not available*
Contact Detail:
Placed Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Pricing Analyst- Insurance (Greater London)
✨Tip Number 1
Familiarise yourself with the latest trends in pricing strategies within the insurance sector. Understanding current market conditions and innovations can give you an edge during interviews, as you'll be able to discuss relevant examples and demonstrate your knowledge.
✨Tip Number 2
Network with professionals in the insurance industry, especially those working in pricing roles. Attend industry events or join online forums to connect with potential colleagues and learn about their experiences, which could provide valuable insights for your application.
✨Tip Number 3
Brush up on your data analysis skills, particularly in tools like SAS, SQL, Python, and R. Consider taking a short course or working on personal projects that showcase your ability to analyse complex datasets, as this will be crucial for the role.
✨Tip Number 4
Prepare to discuss your experience with technical risk models and pricing software during interviews. Be ready to share specific examples of how you've used these tools in past roles to drive results, as this will demonstrate your practical knowledge and suitability for the position.
We think you need these skills to ace Pricing Analyst- Insurance (Greater London)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in general insurance and technical pricing analysis. Emphasise your skills in data analysis tools like SAS, SQL, Python, or R, as well as any experience with pricing software.
Craft a Compelling Cover Letter: Write a cover letter that showcases your understanding of the role and how your background aligns with the key responsibilities. Mention specific examples of how you've developed pricing strategies or analysed sales data in previous roles.
Highlight Analytical Skills: In your application, focus on your analytical mindset and ability to interpret complex data. Provide examples of how you've used statistical modelling techniques to drive decisions or improve pricing models.
Showcase Communication Skills: Since the role requires presenting complex information to various stakeholders, include examples in your application that demonstrate your strong written and verbal communication skills. This could be through reports you've prepared or presentations you've delivered.
How to prepare for a job interview at Placed
✨Showcase Your Analytical Skills
As a Pricing Analyst, your ability to analyse data is crucial. Be prepared to discuss specific examples of how you've used statistical techniques or data analysis tools like SAS, SQL, or Python in previous roles. Highlight any projects where your analysis led to significant improvements in pricing strategies.
✨Understand the Insurance Market
Familiarise yourself with current trends and challenges in the insurance industry, particularly in pricing. Being able to discuss recent developments or changes in regulations will demonstrate your knowledge and commitment to the field, making you a more attractive candidate.
✨Prepare for Technical Questions
Expect technical questions related to risk modelling and pricing software. Brush up on your understanding of statistical modelling techniques and be ready to explain how you've applied them in real-world scenarios. This will show that you have the necessary expertise for the role.
✨Communicate Clearly
Since you'll need to present complex information to both technical and non-technical stakeholders, practice explaining your past work in simple terms. Clear communication is key, so consider preparing a few concise examples that illustrate your ability to convey complex ideas effectively.
