Technology Graduate Programme

Hi, I’m Amrit - CEO and Co-founder at hyperexponential.

hx started with a belief that a small group of talented, curious people could take on one of the most complex parts of insurance and build something meaningfully better.

That belief has always shaped the kind of company we are trying to build. Some of the people who have had the biggest impact at hx joined early in their careers, learned quickly, took ownership, and grew as the company grew. We want to make more of those journeys possible.

That is why we are hiring our next group of graduates into our technical teams. As hx scales, we need to keep bringing in people who are technically strong, curious, and excited by hard problems.

The work we do is not simple. We help commercial insurers make faster, smarter decisions across underwriting, pricing and portfolio management. That means working at the intersection of technology, data, actuarial thinking, AI and real-world customer problems.

This is not a traditional graduate scheme where you spend months on the sidelines. You will join teams building important parts of our platform, learn from experienced engineers and technical leaders, and build the context you need to contribute properly.

For me, this is about building the next generation of hx - not as a side project, but as part of how we scale.

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Until now, insurance has been making billion-pound decisions using outdated tools.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.

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

Start date: September 2026

Length: 12 months and then applying for internal positions

You’ll join hx as part of a cohort of 8 graduates across our technical teams. This could include areas such as product engineering, AI, model development, platform, security, and other teams building and improving hx’s products.

The exact team placements will be shaped around business needs and individual strengths. You’ll be embedded in a technical team, while also getting structured exposure to other parts of hx through time spent alongside our Customer teams and shadowing Central Functions.

Across the programme, you’ll build technical confidence, product understanding and commercial awareness. You’ll also complete our Model Development certification, giving you a stronger understanding of the insurance, modelling and pricing context behind what we build.

You’ll be supported by experienced engineers and technical leaders, a dedicated mentor, learning and development support, and the wider graduate cohort around you.

The programme is designed to help you build the foundations for long-term growth at hx, with the opportunity to apply for full-time roles in the business afterwards.

Check out our Engineering Candidate Hub for a behind the scenes look at the team you would be joining!

• Build real technical solutions that solve customer and internal challenges, such as automating workflows, improving processes with AI tools, building small product features, or creating internal automation that multiplies team efficiency

• Develop foundational knowledge of hx's platform and products, learning how insurance pricing and underwriting systems work, how AI agents operate in production, and how engineering teams ship software at pace

• Gain commercial context by working closely with customer-facing teams to understand how product decisions are shaped by real customer needs, technical constraints, and business priorities

• Collaborate across Engineering, Product, AI, and operations teams, experiencing how different functions work together to deliver complex systems and seeing where your interests and strengths naturally align

• Complete a final programme project that demonstrates applied learning and problem-solving, showcasing the technical and commercial skills you've developed throughout the programme

• Build confidence working in ambiguity, learning to balance quality, speed, and customer impact whilst developing the self-discipline and judgement needed to thrive in a high-growth environment

• Developed strong technical foundations in Python, with experience writing code for data analysis, automation, small projects, or academic coursework that demonstrates real problem-solving ability

• Shown curiosity about AI and automation, through experimentation with LLMs, machine learning concepts, AI-assisted development tools, or personal projects that explore emerging technologies

• Demonstrated initiative beyond academics, such as internships, personal technical projects, hackathons, teaching or coaching roles, leadership in societies, or contributing to open-source work

• Broken down technical problems and experimented with solutions, showing evidence of a problem-solving mindset that doesn't give up when the first approach doesn't work

• Communicated technical concepts clearly, whether through coursework presentations, project documentation, or collaborating with peers on group work that required explaining complex ideas

• Taken ownership of outcomes, showing examples of seeing projects through to completion, proactively identifying improvements, or taking responsibility when things didn't go as planned

• We’re open to a range of technical and quantitative degree backgrounds. You might have studied Computer Science, Maths, Physics, Engineering, Data Science, Actuarial Science, or another subject where you’ve built strong analytical and problem-solving skills.

• You prefer highly structured environments with clearly defined tasks and step-by-step instructions, rather than figuring things out and taking ownership of ambiguous problems

• You're not interested in learning how a business operates beyond your immediate technical work, or collaborating across different teams to understand the broader context

• You're uncomfortable engaging with technical topics like data, AI, or software engineering at depth, or don't have genuine curiosity about developing these skills further

If reading our Culture Document leaves you feeling neutral rather than energised, hx may not be the place where you'll do your best work. We're building something that asks for commitment and conviction, and we want you to feel excited by the opportunity to grow with us.

The salary for this graduate programme is £40,000 per year.

We know compensation is an important part of any career decision, so we want to be upfront about it from the start. This salary has been set to reflect the level of the programme, the market we hire in, and the support graduates will receive as they build their careers at hx.

Alongside salary, graduates will have access to mentorship, learning and development support, and hx’s learning and development budget.

• £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.

• Individual wellbeing allowance via Juno.

• Private healthcare insurance through AXA.

• Income protection and Life Insurance.

• Cycle to Work Scheme.

• Top-spec equipment (laptop, screens, adjustable desks, etc.).

• Regular remote and in-person hackathons, lunch and learns, socials, and game nights.

• Team breakfasts and lunches, snacks, drinks fridge, and a fun office at The Ministry.

• Exceptional opportunities for personal development and growth as we build something remarkable together.

1. Introductory conversation with our AI interviewing tool

2. Interview with our Programme Coordinators in the Talent team (30 minutes).

3. Technical Interview (60 minutes).

4. On-site assessment day - Monday 27th July

5. We offer!

hxers are at the centre of everything we build. We know that progress depends on diverse perspectives, and we are committed to creating an environment where everyone can thrive, grow, and make an impact. We recognise there is always more to do, and we take responsibility for shaping a workplace that is not only diverse but genuinely inclusive.

Diversity is not just the right thing to do, it is key to solving the complex challenges we choose to take on. By welcoming people from all backgrounds and experiences, we strengthen our ability to question assumptions, push boundaries, and design solutions that endure.

If you're energised by complexity and motivated to grow, we encourage you to apply and join our global team.

If this opportunity resonates with you, we encourage you to apply or share it with your connections! Our dedicated talent team reviews all applications, and we promise to provide feedback regardless of the outcome.

For more information about applying and to view other opportunities, you can visit our careers page.

Please note that background checks will be conducted as part of the hiring process to ensure compliance with our governance policies. We handle all background checks sensitively and in full compliance with relevant regulations. All applicant data will be processed in accordance with data protection regulations and our privacy policy.