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- Tasks: Analyze and report on insurance exposures and model losses.
- Company: Join a leading Lloyd's London insurer with a strong reputation.
- Benefits: Gain valuable experience in a dynamic environment with potential for growth.
- Why this job: Perfect for analytical minds looking to impact strategy and decision-making.
- Qualifications: Strong analytic skills and experience with Python, R, or similar languages required.
- Other info: This is a newly created position, offering fresh opportunities for innovation.
The predicted salary is between 36000 - 60000 £ per year.
We have partnered with a leading Lloyd\’s Syndicate to help them find an Exposure management Analyst.This is a key position supporting the delivery and development of the company\’s exposure analytics capabilities, including data governance, enrichment and reporting processes for both internal and external stakeholders. Key Responsibilities include but are not limited to:
Supporting the annual exposure data collection, including validation and liaison with external members or clients.Assisting in the production of exposure data for reinsurance, capital modelling, and stakeholder reporting.Enhancing data enrichment processes, such as geocoding, policyholder matching, and integration of supplemental datasets.Developing and maintaining clear, insightful management information using tools like Power BI.Delivering ad hoc analysis to support Underwriting, Actuarial, Finance, and other business areas.
This is an excellent opportunity for someone with experience in exposure management, catastrophe risk, or insurance data analytics. Please apply below for further details.
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Exposure Management Analyst employer: HFG
Contact Detail:
HFG Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Exposure Management Analyst
✨Tip Number 1
Familiarize yourself with the specific exposure management tools and software commonly used in the insurance industry. This knowledge will not only help you understand the role better but also demonstrate your commitment to the field during interviews.
✨Tip Number 2
Network with professionals in the insurance and reinsurance sectors, especially those who work in exposure management. Engaging in conversations can provide insights into the role and may even lead to referrals.
✨Tip Number 3
Brush up on your programming skills, particularly in Python and R. Consider working on small projects or contributing to open-source initiatives that showcase your analytical abilities and coding proficiency.
✨Tip Number 4
Prepare to discuss how you would approach evaluating exposures and modelled losses. Think of examples from your past experience where you successfully analyzed data and communicated findings to stakeholders.
We think you need these skills to ace Exposure Management Analyst
Some tips for your application 🫡
Highlight Relevant Experience: Make sure to emphasize your analytical background and any experience you have with Python, R, or similar programming languages. Tailor your CV to showcase projects or roles where you've evaluated exposures or worked with underwriting teams.
Demonstrate Communication Skills: Since the role involves communicating risk to various stakeholders, include examples in your application that demonstrate your ability to convey complex information clearly and effectively.
Customize Your Cover Letter: Write a cover letter that specifically addresses the responsibilities mentioned in the job description. Explain how your skills and experiences align with the needs of the Exposure Management Analyst position.
Proofread Your Application: Before submitting, carefully proofread your application materials for any errors or inconsistencies. A polished application reflects attention to detail, which is crucial for this analytical role.
How to prepare for a job interview at HFG
✨Showcase Your Analytical Skills
Be prepared to discuss your analytical background in detail. Highlight specific projects or experiences where you evaluated exposures or modelled losses, and how those experiences can benefit the company.
✨Familiarize Yourself with Python and R
Since the role requires experience with programming languages like Python or R, be ready to demonstrate your proficiency. You might be asked to solve a problem or explain how you've used these tools in past projects.
✨Understand the Insurance and Reinsurance Landscape
Research the current trends and challenges in the insurance and reinsurance sectors. Being knowledgeable about the industry will help you engage in meaningful discussions and show your genuine interest in the role.
✨Prepare Questions for the Interviewers
Think of insightful questions to ask about the company's exposure management strategies and how they collaborate with underwriting teams. This shows your enthusiasm for the position and helps you assess if it's the right fit for you.
