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At hyperexponential, we’re building the AI-powered platform that enables the world’s most critical decisions in a $7 trillion industry - which risks to take, and how to price them. These are the decisions that shape real-world outcomes: whether rockets successfully launch into space, autonomous vehicles make it to market, or communities recover after major storms. Until now, insurers have been making billion-dollar decisions using outdated tools. We’re changing that. Our platform brings together data, AI, and human expertise to give insurers the fastest path from submission to decision - helping them move faster, act smarter, and take on more risk with confidence. Backed by a16z, Highland Europe, and Battery Ventures, we’re scaling globally - already trusted by nearly 50 of the world’s largest insurers, with zero churn and billions in premiums flowing through hx. What began as a single product in one market has rapidly evolved into a multi-product, multi-territory platform powering every stage of pricing and underwriting. AI is at the core of what we do - from building the world’s first domain-specific AI peer programmer for insurance (think GitHub Copilot with a PhD in actuarial science) to shaping agentic workflows that reinvent how this industry operates. What makes hx different is the people who build it. Here, impact isn’t tied to title or tenure; it’s defined by the challenges you take on and the discipline you bring. Surrounded by peers who stretch you, you’ll do the best, hardest work of your life in a company engineered to endure.
Job Responsibility:
Own end-to-end model delivery on hx Renew, from scoping and build through to testing, iteration, and customer delivery
Build and maintain production-grade Python models, applying modern engineering and modelling practices
Work directly with customer actuarial teams and internal stakeholders to solve complex, ambiguous modelling and coding problems
Raise quality across the team through code review, testing, and contributions to best-practice model development guidance
Support and mentor junior model developers through pairing, feedback, and day-to-day delivery support
Continuously look for ways to improve our model development standards, tooling, and ways of working
Requirements:
Shipped and maintained production-grade Python code in complex or data-heavy environments
Applied predictive modelling or advanced analytics in real-world settings (insurance or reinsurance exposure is a bonus, not a requirement)
Taken ownership of ambiguous problems, creating structure and driving them through to high-quality outcomes
Worked directly with non-technical stakeholders or customers, translating requirements into robust technical solutions
Operated effectively in a high-trust, high-accountability environment, proactively driving your own development and learning
What we offer:
£5,000 training and conference budget for individual and group development
25 days of holiday plus 8 bank holidays (33 days total)
Company pension scheme via Penfold
Mental health support and therapy via Spectrum.life