Junior Model Developer

About hyperexponential (hx)

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Until now, insurers have been making billion-dollar decisions using outdated tools.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 Git Hub 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.

If that sounds like you, join us in building what comes next.

The hyperexponential Model Development team (MDT) is a unique blend of engineers, actuaries, mathematicians and data scientists. We don’t take on traditional “transformations” (we have brilliant partners for that) – we specialise in handling only the most difficult and interesting problems our customers face, where only a combination of technical depth, market expertise and hx Renew knowledge will do.

The MDT are the experts' experts of hx Renew, knowing it top-to-bottom, inside-out – both breadth and depth. You’ll learn its limits and which can be pushed. You’ll uncover every trick in the book, the secret combinations, and the shortcuts. You’ll combine all of this with a growing knowledge of insurance technology to present 'the art of the possible' to our customers and help shape cutting-edge tech, while working alongside some of the brightest, most ambitious people in the tech and insurance industries.

• Learn the hx Renew modelling platform, you’ll ship your first models independently within days.

• Build and maintain models in Python for seamless integration, applying modern approaches.

• Work directly with customer actuarial teams, partner developers and internal colleagues to solve complex coding problems.

• Contribute to the development of best-practice guidance for Python model building.

• Review and test models as part of our day-to-day quality assurance process.

• Support the creation and improvement of our internal and external training and development materials.

• Always look for ways to refine and improve our model development standards and ways of working.

• Developed strong Python skills, we’ll help you level up, but you’ll need production-grade experience to start with impact.

• Applied predictive modelling or advanced analytics methods (exposure to insurance or reinsurance pricing techniques is a bonus, but not essential).

• Shown a self-starter attitude, operating autonomously in a high-trust, high-accountability environment, and proactively driving your own development.

• Demonstrated a passion for experimenting with new approaches and technologies, through work or personal projects.

• You prefer following detailed instructions rather than experimenting and finding your own approach.

• You are uncomfortable working directly with non-technical stakeholders to understand their challenges.

• You avoid tackling ambiguous or open-ended problems where the solution isn’t obvious.

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