Analyst

Analyst

London Full-Time 43200 - 72000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Lead catastrophe analytics projects and advise clients on risk management.
  • Company: Join a top UK&I Property Team known for its expertise in catastrophe risk.
  • Benefits: Enjoy a hybrid work model and competitive salary with growth opportunities.
  • Why this job: Be part of a dynamic team that shapes how clients manage natural disaster risks.
  • Qualifications: 5+ years in catastrophe analytics; MSc in finance, statistics, or related field preferred.
  • Other info: Collaborate internationally and contribute to innovative analytical tools.

The predicted salary is between 43200 - 72000 £ per year.

An experienced Catastrophe Risk Analyst is being recruited to join a leading UK&I Property Team based in London. The Catastrophe Analytics team is one of the most respected of its kind in Europe. The team sits within a global reinsurance solutions function and provides clients—including UK insurance companies, syndicates, and reinsurers—with expert advice on their exposures to natural disasters such as windstorms, floods, and earthquakes. Comprised of enthusiastic and team-oriented individuals, the UK Property team continually evolves the way clients understand and manage catastrophe risk. Close collaboration with brokers, academic partners, and model evaluation specialists enables the team to leverage expert insights and robust analysis to help clients make more informed decisions.

Key Responsibilities

  • Act as the client analytics lead on reinsurance analytics and oversee multiple catastrophe and non-catastrophe analytics projects and placements.
  • Analyze client portfolios using catastrophe analytics and apply reinsurance structures accordingly.
  • Lead discussions on key topics such as View of Risk, Climate Change, Inflation, and Event Response.
  • Engage with reinsurers, brokers, and actuaries to understand exposures, review modelling results, address limitations, and resolve issues efficiently.
  • Collaborate with colleagues and client teams internationally.
  • Contribute to practice groups and committees focused on catastrophe modelling and risk management.
  • Advise clients on incurred losses both post-event and for ongoing risk management.
  • Support the development and enhancement of proprietary analytical and efficiency tools.

Skills and Experience

  • 5+ years of experience in catastrophe analytics within a broking house, insurer, reinsurer, or similar financial services environment.
  • MSc or higher qualification ideally in finance, statistics, science, or a related field.
  • Proficient in the following areas:
  • Catastrophe modelling with vendor tools (e.g. RMS, AIR, JBA, CoreLogic)
  • Catastrophe model validation and evaluation
  • Implementation of climate change solutions
  • Strong communication skills across speaking, listening, and writing.
  • Proficiency in Microsoft Office suite; programming/machine learning experience a plus.
  • Experience with Tableau or Power BI.
  • Coding skills in Python, SQL, R (GIS programming a bonus).
  • Strong analytical, problem-solving, and critical-thinking abilities, with a solid foundation in statistical analysis.
  • Excellent attention to detail, organisational skills, and the ability to prioritise in a fast-paced, deadline-driven environment.
  • Self-motivated with a strong work ethic.
  • Outstanding interpersonal skills with the ability to clearly convey complex ideas.
  • Proven leadership skills and adaptability in managing multiple projects and timelines.
  • Practical and innovative approach to problem-solving.
  • Commitment to professional standards and quality initiatives.
  • Analyst employer: Jobs via eFinancialCareers

    Venquis is an exceptional employer, offering a dynamic work environment in the heart of London where innovation and collaboration thrive. As part of a leading UK&I Property Team, employees benefit from extensive professional growth opportunities, working alongside industry experts on impactful projects that shape the future of catastrophe risk management. The company's commitment to fostering a supportive culture and providing access to cutting-edge analytical tools ensures that team members are well-equipped to excel in their roles while making meaningful contributions to client success.
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    Contact Detail:

    Jobs via eFinancialCareers Recruiting Team

    StudySmarter Expert Advice 🤫

    We think this is how you could land Analyst

    ✨Tip Number 1

    Network with professionals in the catastrophe analytics field. Attend industry conferences, webinars, or local meetups to connect with potential colleagues and mentors who can provide insights into the role and company culture.

    ✨Tip Number 2

    Familiarise yourself with the latest trends in catastrophe modelling and risk management. Stay updated on climate change impacts and how they affect the insurance industry, as this knowledge will be crucial during interviews.

    ✨Tip Number 3

    Demonstrate your analytical skills by preparing case studies or examples of past projects where you successfully applied catastrophe analytics. Be ready to discuss these in detail during your conversations with us.

    ✨Tip Number 4

    Showcase your technical skills by being proficient in the tools mentioned in the job description, such as RMS or AIR. If you have experience with programming languages like Python or SQL, be prepared to discuss how you've used them in your previous roles.

    We think you need these skills to ace Analyst

    Catastrophe Modelling
    Risk Analysis
    Statistical Analysis
    Climate Change Solutions Implementation
    Communication Skills
    Microsoft Office Proficiency
    Programming Skills in Python
    SQL Proficiency
    R Programming
    Data Visualisation with Tableau or Power BI
    Analytical Skills
    Problem-Solving Skills
    Attention to Detail
    Organisational Skills
    Leadership Skills
    Interpersonal Skills
    Adaptability
    Project Management

    Some tips for your application 🫡

    Tailor Your CV: Make sure your CV highlights relevant experience in catastrophe analytics, particularly any roles within broking houses, insurers, or reinsurers. Emphasise your skills in catastrophe modelling and any specific tools you've used, such as RMS or AIR.

    Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Discuss how your background aligns with the key responsibilities listed in the job description, especially your experience in leading analytics projects and collaborating with various stakeholders.

    Showcase Technical Skills: Highlight your proficiency in programming languages like Python, SQL, or R, and mention any experience with data visualisation tools like Tableau or Power BI. This will demonstrate your technical capabilities, which are crucial for the role.

    Demonstrate Problem-Solving Abilities: Provide examples in your application that showcase your analytical and problem-solving skills. Discuss specific instances where you successfully addressed complex issues or contributed to innovative solutions in your previous roles.

    How to prepare for a job interview at Jobs via eFinancialCareers

    ✨Understand Catastrophe Modelling Tools

    Familiarise yourself with the catastrophe modelling tools mentioned in the job description, such as RMS, AIR, and JBA. Be prepared to discuss your experience with these tools and how you've used them in past roles.

    ✨Showcase Your Analytical Skills

    Highlight your analytical, problem-solving, and critical-thinking abilities during the interview. Prepare examples of how you've tackled complex problems in previous positions, especially those related to catastrophe risk.

    ✨Communicate Clearly

    Since strong communication skills are essential for this role, practice articulating complex ideas in a clear and concise manner. Consider conducting mock interviews with a friend to refine your delivery.

    ✨Demonstrate Leadership and Collaboration

    Be ready to discuss your leadership experiences and how you've collaborated with teams in the past. Provide specific examples of projects where you led discussions or worked closely with clients and colleagues to achieve results.

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