At a Glance
- Tasks: Analyse catastrophe data and provide insights to mitigate risks.
- Company: Leading insurer with a focus on innovation and teamwork.
- Benefits: Flexible work conditions, competitive salary, and exposure to diverse business lines.
- Why this job: Join a dynamic team and make a real difference in risk management.
- Qualifications: 1.5-3 years in insurance, strong SQL, Power BI, Python skills.
- Other info: Great opportunity for career growth and collaboration across Europe.
The predicted salary is between 36000 - 60000 Β£ per year.
Job Description
This one is for my junior catastrophe risk analysts β Data Cat Analyst β up to Β£60,000
I am working with a leading insurer that is looking for a catastrophe analyst with strong data analytics skillset to join their team in London. The ideal candidate would hold 1.5-3 years of experience in the insurance market, with strong proficiency in SQL, Power Bi, Python, and a good understanding of RMS.
Some benefits include; flexible work conditions, working closely with Europe, exposure to various lines of businesses, and competitive packages.
If this sounds like something you may be interested in, please reach out to me via LinkedIn or email Sueanne.phee@eamesconsulting.com to discuss further.
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Eames Consulting is acting as an Employment Agency in relation to this vacancy.
Data Catastrophe Analyst employer: Eames Consulting
Contact Detail:
Eames Consulting Recruiting Team
StudySmarter Expert Advice π€«
We think this is how you could land Data Catastrophe Analyst
β¨Tip Number 1
Network like a pro! Reach out to professionals in the insurance and data analytics fields on LinkedIn. Join relevant groups and engage in discussions to get your name out there.
β¨Tip Number 2
Prepare for interviews by brushing up on your SQL, Power BI, and Python skills. Practise common interview questions related to catastrophe analysis and be ready to showcase your problem-solving abilities.
β¨Tip Number 3
Donβt just apply anywhere; focus on companies that align with your career goals. Use our website to find roles that excite you and match your skillset, like the Data Catastrophe Analyst position.
β¨Tip Number 4
Follow up after interviews! A quick thank-you email can set you apart from other candidates. It shows your enthusiasm and keeps you fresh in their minds.
We think you need these skills to ace Data Catastrophe Analyst
Some tips for your application π«‘
Tailor Your CV: Make sure your CV highlights your experience in data analytics, especially with SQL, Power BI, and Python. We want to see how your skills match the job description, so donβt be shy about showcasing relevant projects or roles you've had!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about catastrophe analysis and how your background fits with our team. We love seeing enthusiasm and a bit of personality, so let us know what excites you about this role.
Showcase Your Understanding of RMS: Since a good understanding of RMS is key for this role, make sure to mention any relevant experience or coursework. If you've worked with risk modelling or similar tools, we want to hear about it!
Apply Through Our Website: We encourage you to apply directly through our website. Itβs the best way for us to receive your application and ensures youβre considered for the role. Plus, itβs super easy β just follow the prompts and youβll be all set!
How to prepare for a job interview at Eames Consulting
β¨Know Your Data Tools
Make sure you brush up on your SQL, Power BI, and Python skills before the interview. Be ready to discuss specific projects where you've used these tools, as this will show your practical experience and understanding of data analytics in the insurance market.
β¨Understand Catastrophe Modelling
Familiarise yourself with catastrophe risk analysis and RMS (Risk Management Solutions). Being able to speak confidently about how these models work and their importance in the insurance industry will set you apart from other candidates.
β¨Prepare for Scenario Questions
Expect scenario-based questions that test your analytical thinking and problem-solving skills. Think of examples from your past experience where you successfully analysed data to make informed decisions or recommendations.
β¨Show Enthusiasm for the Role
Express genuine interest in the position and the company. Research the insurer's recent projects or initiatives and be prepared to discuss how you can contribute to their goals. A positive attitude can go a long way in making a great impression!