We’re hiring a Tech Lead
Lead the evolution of the technology and infrastructure behind our credit decisioning and model training, including feature generation and model evaluation systems. You'll build and improve critical systems, shape iwoca’s technical vision, and collaborate with cross‑functional teams to deliver innovative, data‑driven solutions.
Hybrid in London / Remote within the UK.
The Company
Small businesses move fast. Opportunities often don’t wait, and cash flow pressures can appear overnight. To keep going, and growing, SMEs need finance that’s as flexible and responsive as they are. That’s why we built iwoca. Our smart technology, data science and five‑star customer service ensures business owners can act with the speed, confidence and control they need, exactly when it’s needed. We’ve already cleared the way for 100,000 businesses with more than £4 billion in funding. Our passionate team is driven to help even more SMEs succeed, through access to better finance and other services that make running a business easier. Our ultimate mission is to support one million SMEs in their defining moments, creating lasting impact for the communities and economies they drive.
The Team
The LoL-Tech team is responsible for developing and maintaining the technology used to train, deploy and execute iwoca’s credit decisioning models. The LoL-tech team works hand in hand with the team of analysts (the League of Lending AKA LoL) who own and develop credit models and systems to analyse our lending processes. Through this partnership the team ensures iwoca can continue pushing the boundaries of analytical systems.
The Role
You’ll lead the technical team responsible for the delivery of key technical infrastructure used in model development and live credit‑decisioning. This includes but is not limited to fetching external data, developing and maintaining a feature service for the computation of model features, developing and maintaining a platform for general purpose model evaluation and training. You’ll lead a team of developers and work closely with data scientists, building and delivering a shared vision for the future of the team.
Architectural ownership and impact
* Lead the development of software tooling for credit model development and analytics.
* Collaborate with leaders in analytics, data engineering and architecture to build a shared roadmap to enable the wider needs of the LoL team.
Hands‑on delivery and Leadership and Influence
* Act as a hands‑on contributor, leading by example in quality, testing, and performance.
* Drive the technical strategy and execution for the LoL-Tech team, translating vision into well‑designed, robust and maintainable systems.
Team leadership and management
* Manage and mentor engineers, taking responsibility for their performance, coaching, and career development.
* Define and champion engineering best practices within your team and across the wider engineering group.
The Requirements
Essential
* Familiarity with data analytics and Machine Learning processes.
* An appreciation of the needs of model training including data immutability and temporal consistency.
* Expertise in systems architecture, including designing and managing complex domain models.
* Advanced proficiency in software development using an object‑oriented language.
* Confidence in working closely with partners from other disciplines, working to uncover the underlying problems and challenging assumptions.
* Demonstrable leadership skills: you have mentored juniors and inspired teams to deliver cross‑functional projects. You can balance hands‑on coding with strategic planning.
* Experience building and shaping large systems in complex business domains.
Bonus
* A strong numerical or technical background, ideally with a degree in physics, engineering, maths, computer science or a related field.
* Experience building and maintaining analytics systems.
* Experience with Python, Snowflake or PostgreSQL.
* Experience working on feature management systems such as feature‑services or feature stores.
* An understanding of complex data systems, including event‑sourced data models.
The salary
We expect to pay from £100,000 – £150,000 for this role. But, we’re open‑minded, so definitely include your salary goals with your application. We routinely benchmark salaries against market rates, and run quarterly performance and salary reviews.
The offices
* Offices in London, Leeds, Berlin, and Frankfurt with plenty of drinks and snacks.
* Events and community‑led groups, including running groups, padel, and monthly ping‑pong and pool competitions.
The Benefits
* Flexible working hours.
* Medical insurance from Vitality, including discounted gym membership.
* A private GP service (separate from Vitality) for you, your partner, and your dependents.
* 25 days’ holiday per year, an extra day off for your birthday, the option to buy or sell an additional five days of annual leave, and unlimited unpaid leave.
* A one‑month, fully paid sabbatical after four years.
* Instant access to external counselling and therapy sessions for team members that need emotional or mental health support.
* 3% Pension contributions on total earnings.
* An employee equity incentive scheme.
* Generous parental leave and a nursery tax benefit scheme to help you save money.
* Electric car scheme and cycle to work scheme.
* Two company retreats a year: we’ve been to France, Italy, Spain, and further afield.
Learning and development
* A learning and development budget for everyone.
* Company‑wide talks with internal and external speakers.
* Access to learning platforms like Treehouse.
Useful links
* iwoca benefits & policies
* Interview welcome pack
Compensation Range: £100K – £160K
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