Data Modelling Specialist
3 weeks ago
Job Title: Data Modelling Analyst
Job Position: Data Analyst
Location: Remote
Starting Salary: £30,000 per annum (dependent on experience)
About Us
Evolving the future of data capabilities within the insurance sector, Evolution HTD is a pioneering hire, train, deploy organisation headquartered in the UK. Our innovative approach focuses on building and deploying top-notch data analysts across various organisations.
Why Choose Evolution?
Embark on a transformative journey as a Data Analyst with us. Immerse yourself in real-world projects, working closely with esteemed clients to tackle intricate data visualisation challenges that will sharpen your skills and broaden your professional network.
Ongoing education and training are integral to our programme. You'll receive comprehensive training in cutting-edge data technologies and have access to ongoing development opportunities, including industry-recognised certifications tailored to your strengths.
Leverage the guidance of seasoned data experts and Technical Trainers to propel your career in the ever-evolving field of data analysis.
- Exposure Analysis: Extract insights from client datasets to refine catastrophe models.
- Sensitivity Testing: Conduct thorough analyses to deliver actionable event-response insights.
- Innovative Solutions: Collaborate with academic partners and industry experts to create revolutionary solutions.
- Cyber Insurance:
- Analyse global cyber insurance datasets and assess risk models.
- Develop and maintain comprehensive analytics offerings.
- Validate model components using third-party data and test sensitivity.
- Understand climate change impacts by examining claims experience.
Requirements
- Experience: 1-3 years in data visualisation and/or business analysis roles, preferably in the financial services sector.
- Attention to Detail: High attention to detail in data processing and analysis.
- Commercial Awareness: Proven ability to communicate complex ideas clearly and confidently with clients.
- Technical Skills: Proficiency in programming languages such as Python or R is desirable.
- Project Management: Demonstrated capacity to manage projects effectively and coordinate activities across multiple departments.
- Education: A Bachelor's degree in Data Science, Computer Science, Business Administration, or a related field, or equivalent experience.
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