Data Modelling Analyst

Job Title: Data Modelling Analyst (Insurance)

Job Position: Data Modelling Analyst (Insurance)

Location: Remote

About Us: Evolution HTD is an innovative hire, train, deploy organisation headquartered in Warrington, UK. We specialise in building data capabilities within the insurance sector. Our HTD Programme is a fixed 2-year commitment between Evolution and the data consultant, where customers have the option to hire the consultant permanently at the end of the agreed deployment period.

Why Evolution: 🔥 Dynamic Data Opportunities: Immerse yourself in hands-on experiences working directly with data projects for one or more organisations within our impressive client portfolio. Tackle challenging data visualisation projects that will enhance your skills, broaden your network, and equip you with the tools to excel in data analysis and deployment.

📚 Ongoing Data Learning: Your journey begins with intensive training in data technologies, but the learning is continuous. Over several years, you will engage in ongoing education, obtaining industry-recognised qualifications tailored to your abilities, including Data Analysis, Data Visualisation, Advanced Analytical Techniques, and more.

🎓 Mentoring and Coaching: Thrive under the guidance of our seasoned data experts and Technical Trainers. Leverage their expertise to advance your career path in the data field.

Job Description:

Key Responsibilities:

Catastrophe Management:

• Run models to quantify the likelihood and severity of natural catastrophes.
• Process and interpret client exposure data for use in catastrophe models within the insurance sector.
• Conduct sensitivity testing and provide event-response insights to insurance clients.
• Collaborate with academic and industry partners to innovate solutions specific to insurance needs.

Catastrophe Cyber:

• Work with insurance-specific cyber datasets and risk models.
• Develop and maintain global datasets and analytics offerings tailored for the insurance industry.
• Evaluate and validate cyber models for insurance applications.
• Manage client relationships and contribute to research efforts in insurance cyber risks.

Catastrophe Evaluation/Research:

• Provide up-to-date information on natural catastrophes relevant to the insurance industry.
• Evaluate and validate catastrophe models used by insurers.
• Test model sensitivities and validate components using third-party data within an insurance context.
• Analyze claims experience and quantify climate change impacts on insurance portfolios.

Requirements:

• Experience: 1-3 years in data visualisation, business analysis, or catastrophe modelling within the insurance industry is essential. Prior experience in natural perils or running catastrophe models for insurance companies is required.
• Analytical Skills: Strong logical thinking and problem-solving abilities, specifically in an insurance context.
• Attention to Detail: High attention to detail in data processing and analysis relevant to insurance.
• Communication: Excellent communication skills, with the ability to simplify complex insurance-related ideas for non-technical stakeholders.
• Self-Starter: Initiative to work independently and collaboratively within the insurance industry.
• Commercial Awareness: Ability to understand and support insurance clients with clarity and confidence.
• Technical Skills: Proficiency in programming (Python or R) is desirable, especially in applications related to insurance modelling.
• Project Management: Demonstrated ability to manage projects and coordinate activities across multiple departments within insurance organisations.
• Soft Skills: Excellent communication, stakeholder management, and problem-solving skills. Ability to explain technical concepts to non-technical stakeholders in the insurance field.
• Education: Bachelor's degree in Data Science, Computer Science, Business Administration, or a related field, or equivalent experience in insurance.

Additional Information:

• Location: While London is preferred, remote working is available.
• Proactive and Team-Oriented: We value candidates who are proactive, open-minded, and willing to be team players. Insurance experience is critical, and technical skills can be further developed on the job.