
hyperexponential · London
ABOUT HYPEREXPONENTIAL (HX) At hyperexponential, we’re building the AI-powered platform that enables the world’s most critical decisions in a $7 trillion indus...
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Until now, insurers have been making billion-dollar decisions using outdated tools.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.
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.
but not essential).
your own development.
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.
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.
hxer's 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.
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 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. WHAT YOU’LL NEED TO HAVE DONE * 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. 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 * £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 ADDITIONAL PERKS * 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. INTERVIEW PROCESS * Initial call with our Talent team - 30 minutes * Take-home Python challenge followed by Skills Interview - 1 hour * Manager Interview - 1 hour * Values Interview - 1 hour OUR COMMITMENT TO DIVERSITY hxer's 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. NEXT STEPS 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.
About 9fin 9fin is the AI platform powering global debt markets — the world’s largest asset class at over $145 trillion. Debt markets are vast, global, and mission-critical, yet still run on fragmented data, PDFs, and manual workflows. 9fin replaces this broken infrastructure with a single platform that centralises proprietary credit data, deep analysis, and high-value workflows across global markets. Today, 9fin powers teams at 300+ blue-chip institutions worldwide, including global banks, asset managers, private equity firms, law firms, and advisors. The business is scaling at exceptional speed, with rapid expansion in the US and best-in-class retention driven by deep workflow adoption. We’re at a defining inflection point. With proven product-market fit and strong, global market pull, 9fin is accelerating toward becoming the category-defining platform for debt markets worldwide. What you'll work on * This role is the opportunity to take on the technical leadership on projects, defining and designing systems, making quick proof of concepts and working closely with Product and our Clients. * Write code and lead others in the team in delivering new service functionality, implementing API’s, data routing/processing and automation mechanisms. * Development and engineering primarily on the backend services and web application hosted tools and systems of the 9fin platform. * Taking a leading role within project teams as an IC, running code reviews and mentoring of junior developers, involvement in early research and experimentation with new technologies providing input for new features and products. * Continually improve on the 9fin codebase taking the chance to automate, refactor and document when you can. * Variety: Our web platforms are incredibly diverse, from complex financial data modelling, capturing environmental, emission, energy data, incorporation of ML/AI prediction services, data visualisation serving and automation systems. * Collaboration and teamwork: Cross functional teams are formed for all projects including the appropriate domain expertise from 9fin financial, legal and editorial colleagues. This allows the best quality information and feedback to go directly to engineering project teams. Your ability to explain and break down complex projects to non technical audiences will enable productive and efficient team progress. * Developer Experience: Through managed automated preview environments, feature flags and well maintained non production environments. You will be able to move with velocity and get feedback and iterate quickly. Our Backend Stack * Python is the dominant backend language used * Flask&FastAPI * Typing is used within our Python stack to power automated documentation and API definitions * Relational Databases (PostgreSQL) at the heart of majority of services * We’re AWS for Cloud hosted services * Heavy use of AWS lambda Serverless * Docker (AWS ECS) for uniform development/deployment from dev to prod Requirements This role will be a great fit if you: * Can effectively plan and reason about your software, understanding where it fits into systems and the overall business * Can think about how data will pass through your software; from persistent storage through to API endpoint * Experience with Python and its web frameworks (we currently use Flask, and are moving to FastAPI with Typing) * Strong experience delivering APIs, Service Oriented Architecture * Good working knowledge of SQL statements for retrieving data * A good collaborator and communicator with cross functional engineering teammates and others within 9fin * Code Quality: Through writing testable, maintainable code, and by engaging in code review for your own work and for reviewing others COMPANY BENEFITS We’re a scaling start up and we enjoy sharing our success, when the company succeeds, we always reinvest that in our people. We also offer huge amounts of responsibility, an abundance of opportunity for growth and a platform to truly excel. Financial & Insurance * Competitive Salary(our salary bands are benchmarked at the top end of the market) * Pension (your minimum contributions are 4% with 9fin matching up to 7%) * Private Medical Insurance * Paid sick leave with Income Protection for long periods of illness * Group Life Assurance * Season Ticket Loan&Cycle to Work schemes Time off * 25 holiday days per year * Local public holidays (with the ability to exchange them for alternative days) * Hybrid working model, to allow you the flexibility to decide how, where and when you do your best work * Work abroad for up to 3 months a year * 1 month paid sabbatical after 5 years of service * Enhanced parental leave&flexible working arrangements available Training & Culture * Professional learning and development budget * Quarterly team socials * Summer and Winter company social events 9fin is an equal opportunities employer At 9fin we are dedicated to building and promoting a fair and inclusive workplace where everyone can reach their full potential and truly belong. We recognize that building diverse teams enables a more creative and productive environment. If you’re excited about this role but your experience doesn’t perfectly align with the job description, we encourage you to apply anyway. You might just be who we’re looking for — either for this role, or perhaps another.
Some key info for you about Liberis: 🌱 We were founded in 2007 💰 We have provided over $3bn of funding to small businesses so far 🚀 We have been named in CNBC & Statista Top 150 UK Fintechs for 2025 🌍 We're a global team, with a dynamic presence in 6 key locations around the world 🧠 We're a thriving community of over 290 innovative minds 👩🏾 🤝 👨🏼 We're a vibrant melting pot, celebrating over 27 nationalities in our team 🏢 Our team brings experience from over 740 previous companies, from startups to global giants 🎯 We have just been named as one of FinTech’s Finest 50 by Welcome to the Jungle 💪 We’re proud to be an accredited Real Living Wage employer, ensuring everyone is paid fairly for the great work they do! Our Product & Engineering Team: Liberis is building the embedded finance platform that lets partners around the world offer innovative funding products to their small business customers. We're a growth-stage fintech with teams in London, Nottingham, Atlanta, Stockholm, Munich and Mumbai, and we’re building a global Product, Data & Engineering team that thrives on autonomy, ownership, and is focused on impact! Our teams solve real-world problems for small businesses, shaping products that unlock opportunity at scale. Engineering is going through an AI-first transformation, rethinking how teams are structured and how they ship. It's changing what a small team can do! We empower our teams to make decisions, move fast, and take full responsibility for the solutions they deliver. You’ll join a team where curiosity is encouraged and collaboration across Product, Data, Delivery and Engineering is the norm. About our Data & Insights Team: We exist to build the data platforms and analytics that enable every decision at Liberis to be data-informed—and increasingly, to power AI and ML capabilities across the company! We're building composable, reliable data platforms that scale—from ingesting partner transaction data and event streams, to powering analytics dashboards, to feeding ML models with real-time features. We're also supporting the AI/ML platform team with reliable, low-latency feature pipelines and model serving infrastructure. We're collaborative, pragmatic, and we value moving fast by fixing the right problems—not over-engineering, but building to last! The team is made up of three functions: Data Platform Engineering: Building and scaling ELT pipelines, managing data infrastructure on GCP, and creating the foundation for analytics and ML feature stores. You'll be part of a small, high-performing team of platform engineers focused on reliability, scale, and developer velocity. Analytics Engineering: Transform raw data into trusted models using DBT and SQL, powering self-serve analytics and business intelligence for stakeholders across the company. Data & Business Intelligence: Build dashboards, partner-facing reports, and insights that drive business decisions and revenue outcomes. What you'll get to do in the role: * Design, build, and maintain resilient data pipelines that ingest data from Azure SQL, SaaS platforms, and event streams into BigQuery. * Write Python code using DLT to define declarative, testable, version-controlled pipelines - no low-code tools, real engineering. * Build and operate ML feature pipelines - low-latency, real-time data streams that feed ML models with accurate, fresh features. * Own the operational health of systems you build - monitoring, alerting, error handling, and incident response. When the data pipeline goes down, merchant credit decisions and ML model predictions suffer. * Collaborate with analytics engineers to understand data needs, validate schema design, and establish data quality standards that both analytics and ML rely on. * Partner with the AI/ML platform team to design feature stores, streaming feature infrastructure, and model serving pipelines that power Liberis' decisioning engine. * Identify and execute optimisation work - improving performance, reliability, and developer velocity without rearchitecting stable systems. * Mentor junior engineers, helping them grow as engineers and supporting their career development. * Participate in technical decisions about platform direction - infrastructure choices, tooling, architecture trade-offs. * Work cross-functionally with product teams, analytics engineers, BI specialists, and the ML platform team to shape data requirements and platform capabilities. What we think you'll need: * Proven experience within data engineering roles -building and operating data pipelines at scale * Hands-on experience building Modern Data Stack architectures - you understand the layers: ingestion, warehouse, transformation, orchestration, reverse ETL. You've worked with tools like DLT/Fivetran/Airbyte (ingestion), BigQuery/Snowflake/Redshift (warehouse), DBT (transformation), Airflow/similar (orchestration). * Strong Python programming - you write clean, testable, maintainable code with solid error handling and logging. * Fluent SQL - you can write complex queries, understand execution plans, and optimize for performance and cost. * Experience with cloud data platforms - you've built data warehouses in BigQuery, Redshift, Snowflake, or similar; you understand distributed processing, partitioning, cost optimization, and data governance. * Experience with infrastructure-as-code tools (Terraform, CloudFormation, Pulumi) or equivalent - you version control infrastructure and deploy it via CI/CD pipelines. * Experience working in fast-moving environments where requirements evolve and you adapt quickly without losing sight of reliability. * Understanding of DevOps principles - you think in terms of observability, resilience, incident response, and operational excellence. You can set up monitoring and alerting that actually matters. Bonus points if you have: * Experience with DLT or similar declarative ELT frameworks; experience with Google Cloud Platform ecosystem (BigQuery, Cloud Run, Pub/Sub, Dataflow); experience with Kafka, Pub/Sub, or event streaming platforms; experience scaling data systems from 0 to 100M+ events/day; experience implementing data quality frameworks (Great Expectations, dbt tests, custom monitoring); background in fintech or high-stakes data reliability environments where data quality directly impacts revenue. * Experience working with distributed, asynchronous teams across timezones; experience in India tech ecosystem or building in resource-constrained environments; experience migrating from legacy data infrastructure (Azure ADF, traditional ETL) to modern cloud-native stacks. Career development is really important to us here at Liberis, with progression opportunities for both individual contributors and people managers. You can have a look through our Engineering Career Framework via this link Our hybrid approach Working together in person helps us move faster, collaborate better, and build a great Liberis culture. Our hybrid working policy requires team members to be in the office at least 3 days a week. At Liberis, we embrace flexibility as a core part of our culture, while also valuing the importance of the time our teams spend together in the office. #LI-FC1