At a Glance
- Tasks: Lead the development of complex models using Python and collaborate with top industry experts.
- Company: Join hyperexponential, a pioneering AI platform transforming the insurance industry.
- Benefits: Enjoy competitive pay, equity options, and a generous training budget.
- Why this job: Make a real impact in a fast-paced environment while tackling challenging problems.
- Qualifications: Experience in Python coding and delivering analytical models, preferably in insurance.
- Other info: Be part of a dynamic team that values innovation and personal growth.
The predicted salary is between 43200 - 72000 ÂŁ per year.
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 Until now, insurers have been making billion-dollar decisions using outdated tools.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 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.
About the Model Development team
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.
What you’ll be doing
- Own end-to-end delivery of complex models on hx Renew, from scoping and technical design through build, testing, iteration, and customer delivery.
- Build and maintain production-grade Python models, setting a high bar for code quality, testing, and modelling best practices.
- Act as a technical authority on customer projects, working directly with actuarial teams and senior stakeholders to solve complex, ambiguous problems.
- Raise quality across the team through code review, pairing, mentoring, and contributions to shared guidance and standards.
- Support the development of other Model Developers, providing feedback and technical leadership in day-to-day delivery.
- Proactively identify opportunities to improve tooling, processes, and ways of working to increase delivery speed, predictability, and quality.
What you’ll need to have done
- Shipped and maintained production-grade Python code in complex, data-heavy environments.
- Delivered actuarial, pricing, or advanced analytical models in real-world settings (insurance or reinsurance experience is strongly preferred).
- Taken ownership of complex, ambiguous problems, creating structure and driving them through to high-quality outcomes.
- Worked directly with customers or senior non-technical stakeholders, translating requirements into robust technical solutions.
- Acted as a senior contributor within a team, influencing quality, standards, and ways of working beyond your own tasks.
- Operated effectively in a high-trust, high-accountability environment, demonstrating ownership, judgement, and continuous learning.
You’re unlikely to thrive here if
- 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.
- 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.
Compensation
At hx, we’re committed to salary transparency. You’ll always have clarity on pay early in the process - our Talent Partner will share details with you during initial conversations - and we’re working towards publishing salary information for all roles globally. Because we’re building at the intersection of technology/SaaS and insurance, our roles don’t always map neatly onto traditional benchmarks. Our approach is to design compensation that’s competitive in the market, fair across teams, and aligned with the impact our people make. Equity: We offer equity across all roles at hx, making it a significant component of total compensation. Your talent partner will be able to share more details about this.
Benefits
ÂŁ5,000 training and conference budget for individual and group development. 25 days of holiday plus 8.
Senior Model Developer in London employer: hyperexponential
Contact Detail:
hyperexponential Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Model Developer in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those at hyperexponential. A friendly chat can open doors that applications alone can't.
✨Tip Number 2
Show off your skills! If you’ve got a portfolio or some projects that highlight your Python prowess and model development experience, share them during interviews or networking events.
✨Tip Number 3
Prepare for the unexpected! Be ready to tackle complex problems on the spot. Brush up on your problem-solving skills and think about how you’d approach real-world challenges in insurance tech.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the hx team.
We think you need these skills to ace Senior Model Developer in London
Some tips for your application 🫡
Show Your Passion for AI and Insurance: When writing your application, let your enthusiasm for AI and the insurance industry shine through. We want to see how your experiences align with our mission of transforming decision-making in this space.
Be Specific About Your Experience: Don’t just list your skills; give us examples of how you've used them in real-world situations. Talk about the complex models you've built or the ambiguous problems you've tackled, especially in data-heavy environments.
Tailor Your Application: Make sure your application speaks directly to the role of Senior Model Developer. Highlight your experience with Python and any actuarial or pricing models you've worked on. We love seeing candidates who take the time to connect their background to what we do.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re serious about joining our team!
How to prepare for a job interview at hyperexponential
✨Know Your Models Inside Out
Before the interview, make sure you’re well-versed in the models you've built and maintained. Be ready to discuss specific examples of how you've tackled complex problems in data-heavy environments, especially in insurance or reinsurance settings.
✨Showcase Your Technical Authority
Prepare to demonstrate your technical expertise by discussing how you've acted as a technical authority on past projects. Highlight your experience working with actuarial teams and senior stakeholders, and be ready to explain how you translated their requirements into robust technical solutions.
✨Emphasise Collaboration and Mentorship
Talk about your experience in mentoring others and raising quality across teams. Share specific instances where you’ve contributed to code reviews or helped improve processes, showcasing your ability to influence standards and ways of working beyond your own tasks.
✨Be Ready for Ambiguity
Expect questions that assess your comfort with ambiguous problems. Prepare examples of how you've created structure and driven high-quality outcomes in situations where the solution wasn’t obvious. This will show your potential to thrive in a high-trust, high-accountability environment.