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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 arrangements, 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 proficiency in data analysis tools and strong communication skills.
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*
Pricing Analyst- Insurance (Greater London) employer: Placed
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 specific pricing software mentioned in the job description, such as Earnix or Radar. Having hands-on experience or even completing online tutorials can give you a significant edge during interviews.
✨Tip Number 2
Brush up on your statistical modelling techniques and be prepared to discuss how you've applied them in previous roles. Being able to articulate your thought process and results will demonstrate your analytical mindset.
✨Tip Number 3
Network with professionals in the insurance industry, especially those who work in pricing. Attend relevant meetups or webinars to gain insights and potentially get referrals that could help you land the job.
✨Tip Number 4
Prepare to showcase your ability to present complex data clearly. Consider creating a mock presentation based on a pricing analysis project you've worked on, as this will highlight your communication skills and technical expertise.
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 specifically addresses the key responsibilities mentioned in the job description. Discuss how your background aligns with their needs, particularly your experience in developing pricing strategies and analysing sales data.
Showcase Analytical Skills: In your application, provide examples of how you've used statistical modelling techniques to drive decisions. Highlight any projects where you identified trends or made data-driven recommendations that led to improvements.
Prepare for Communication: Since strong communication skills are essential, consider how you can demonstrate your ability to present complex information clearly. You might want to prepare a brief summary of a past project that showcases this skill for potential interviews.
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. 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've applied them in practice. If you have experience with specific pricing software, be sure to mention it and discuss how it has benefited your previous employers.
✨Communicate Clearly
Strong communication skills are essential for this role. Practice explaining complex data and pricing models in simple terms, as you'll need to present findings to both technical and non-technical stakeholders. Consider preparing a brief presentation on a past project to showcase your ability to convey information effectively.
