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hyperexponential is an AI-powered insurance platform trusted by nearly 50 of the world's largest insurers. The company is building decision-making tools for the $7 trillion insurance industry, combining data, AI, and human expertise to help insurers move faster and take on more risk with confidence. Backed by a16z, Highland Europe, and Battery Ventures, the platform powers pricing and underwriting across multiple products and territories globally.
The Delivery Engineering team is a specialized group of engineers, actuaries, mathematicians, and data scientists who tackle the most complex and interesting problems customers face. This team possesses deep expertise across the entire hx platform and combines technical depth with insurance market knowledge.
In this role, you will:
- Learn the hx modelling platform and ship your first models independently within days
- Build and maintain models in Python for seamless customer integration, applying modern development approaches
- Work directly with customer actuarial teams, partner developers, and internal colleagues to solve complex coding problems
- Contribute to developing best-practice guidance for Python model building
- Review and test models as part of daily quality assurance processes
- Support creation and improvement of internal and external training materials
- Continuously refine model development standards and ways of working
You will work in a high-trust, high-accountability environment where impact is defined by the challenges you take on, not by title or tenure. The role offers exposure to cutting-edge insurance technology and opportunities to work alongside ambitious technologists and insurance experts.
REQUIREMENTS:
- Production-grade Python skills (the company will help you level up, but you need solid foundational experience)
- Experience with predictive modelling or advanced analytics methods
- Exposure to insurance or reinsurance pricing techniques is a bonus but not essential
- Self-starter attitude with ability to operate autonomously and proactively drive your own development
- Passion for experimenting with new approaches and technologies, demonstrated through work or personal projects
- Comfort working directly with non-technical stakeholders to understand their challenges
- Ability to tackle ambiguous, open-ended problems where the solution isn't obvious
- Preference for experimentation and finding your own approach over following detailed instructions
