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Job Title: Technical Lead (Software Engineer) (Full stack)- Python, PySpark, HPC
Salary: 100,000 - 130,000 | Location: Bristol, UK (Hybrid)
About the Company
My client is a pioneering InsurTech specialising in cyber reinsurance, delivering advanced analytic's and underwriting solutions that transform cyber risk management. Their skilled, collaborative team thrives on data science and engineering innovation.
The Role: Technical Lead
We're seeking a hands-on Technical Lead to drive platform development, build and lead a high-performing engineering team, and integrate advanced risk modelling into their cyber reinsurance platform. This role requires 10+ years' experience in software engineering, including 5+ years in leadership, preferably in insurance or financial services.
Key Responsibilities
- Platform Development: Architect and develop acyber reinsurance platform, incorporating:
- Reinsurance submission ingestion, policy administration, cyber risk modelling, portfolio optimisation, and advanced reporting.
- Team Leadership: Build and manage a high-performance engineering team across HPC, data engineering, and web development.
- Collaboration: Work closely with data science and modelling teams to integrate analytical models.
- Scaling Strategy: Expand the platform across new business lines.
- Hands-On Contribution: Remain actively involved in the codebase, solving technical challenges and mentoring the team.
Qualifications & Skills
- 10+ years in software engineering, you must be experienced across the Full stack both Front and Back End with 5+ years in leadership (preferably in insurance).
- Strong Python and PySpark skills, plus HPC, large-scale data engineering, and full-stack development.
- Experience with machine learning, cloud platforms (AWS, GCP, Azure), DevOps tools (Docker, Terraform, Kubernetes), and data lakehouses (Databricks).
- Proven success in building and scaling engineering teams and aligning initiatives with business goals.
Why Join?
- Lead a cutting-edge team in cyber reinsurance.
- Shape the future of risk management with advanced analytics.
- Work in a highly collaborative, innovative environment.
How to Apply
Send your CV to (url removed) to explore this opportunity.
