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- Tasks: Develop pricing strategies and analyse data to drive innovation in insurance pricing.
- Company: Join a forward-thinking insurance company 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 dynamic team that values data-driven decisions and innovative solutions.
- 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 30000 - 50000 £ per year.
£30K- £50K
Once a week in London
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
- 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:
MERJE Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Pricing Analyst- Insurance
✨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 or analytics roles. Attend industry events or join online forums to connect with potential colleagues and learn more about the company culture at StudySmarter.
✨Tip Number 3
Brush up on your technical skills, particularly in data analysis tools like SAS, SQL, Python, and R. Being able to showcase your proficiency in these areas during discussions can significantly boost your chances of landing the job.
✨Tip Number 4
Prepare to discuss how you've used statistical modelling techniques in past roles. Be ready to provide specific examples of how your analytical mindset has led to successful pricing strategies or improvements, as this will highlight your suitability for the role.
We think you need these skills to ace Pricing Analyst- Insurance
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in General Insurance and showcases your skills in data analysis tools like SAS, SQL, Python, or R. Emphasise any experience with pricing software and technical risk models.
Craft a Compelling Cover Letter: Write a cover letter that specifically addresses the key responsibilities of the Pricing Analyst role. Mention how your background in Mathematics, Statistics, or a related field equips you to develop competitive pricing strategies and analyse sales data effectively.
Showcase Analytical Skills: In your application, provide examples of how you've used statistical modelling techniques to interpret complex data. Highlight any projects where you've successfully identified trends and made data-driven decisions.
Prepare for Communication: Since strong communication skills are essential, be ready to demonstrate how you can present complex information clearly. Consider including a brief example in your application of how you've communicated findings to both technical and non-technical stakeholders.
How to prepare for a job interview at MERJE
✨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. Being able to discuss how market conditions affect pricing strategies will demonstrate your knowledge and commitment to the role. Research recent developments in general insurance to bring relevant insights to the conversation.
✨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 would approach building a pricing model. This will show your technical competence and readiness for the role.
✨Communicate Clearly
Since you'll need to present complex information to both technical and non-technical stakeholders, practice explaining your past projects in simple terms. Use clear examples to illustrate your points, and ensure you can convey your ideas effectively, as strong communication skills are essential for this position.
