Catastrophe Risk Data Automation Engineer

Catastrophe Risk Data Automation Engineer

Full-Time 50000 - 65000 Β£ / year (est.) No working from home possible
Beazley

At a Glance

  • Tasks: Enhance reporting processes and automate workflows for the Exposure Management team.
  • Company: Beazley, a leading insurance firm in Greater London.
  • Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
  • Other info: Join a dynamic team focused on innovation and quality.
  • Why this job: Make a real impact on data handling and reporting in the insurance industry.
  • Qualifications: Strong SQL and Power BI skills, plus a knack for problem-solving.

The predicted salary is between 50000 - 65000 Β£ per year.

Beazley is seeking a Catastrophe Risk Data Automation & Reporting Developer in Greater London. This role involves enhancing reporting processes and automating workflows vital to the Exposure Management team. The ideal candidate will possess strong technical skills in SQL and Power BI, along with an understanding of insurance exposure data.

The position requires self-motivation, problem-solving skills, and a commitment to quality, contributing to significant improvements in data handling and reporting practices.

Catastrophe Risk Data Automation Engineer employer: Beazley

Beazley is an exceptional employer that prioritises employee experience, empowerment, and wellbeing within a dynamic finance environment. With a strong focus on professional growth, employees benefit from attractive compensation packages, comprehensive health coverage, and a flexible working culture that supports work-life balance. The opportunity to engage with senior management and contribute to strategic financial initiatives makes this role not only rewarding but also pivotal in shaping the future of the organisation.

Beazley

Contact Details:

Beazley Recruitment Team

We think you need these skills to ace Catastrophe Risk Data Automation Engineer

Communication Skills
Python
SQL
Problem-Solving Skills
Automation
Attention to Detail
Data Engineering