At a Glance
- Tasks: Lead automation of Finance and Operations workflows using Python and collaborate with stakeholders.
- Company: Fast-growing fintech redefining consumer lending in the UK with innovative technology.
- Benefits: Equity ownership, hybrid work, 25 days holiday, paid volunteering, and wellness budget.
- Other info: Opportunity for career growth and management roles as the team expands.
- Why this job: Make a real impact by automating critical business processes in a dynamic environment.
- Qualifications: Strong Python experience, product mindset, and ability to work with business stakeholders.
The predicted salary is between 80000 - 100000 £ per year.
About the company
We’re redefining consumer lending in the UK, and beyond. Using advanced AI and Open Banking data, we make fair, affordable personal finance available to more people. While traditional lenders rely almost entirely on credit scores, we look at the full financial picture - how much you spend, and what you can afford to repay to build a deeper, more accurate understanding of each customer's unique financial situation. And we've shown it works at scale. We’ve issued over £1.3bn in loans directly to customers while delivering market-leading credit performance - for every 10 defaults the industry expects, we see only 3. We also reached profitability just 2.5 years after launch. Backed by £2bn+ of funding from top-tier investors including Citi, GSR Ventures, and Deutsche Bank, we’re recognised as one of Europe’s fastest-growing fintechs. Now, we’re expanding into new markets and product lines - and we’re looking for ambitious people who want to learn fast, take ownership, and grow with us.
About the Role
We're looking for a Lead Software Engineer to own the engineering function that automates how our Finance and Operations teams work. As the company scales, the manual workflows that powered us through our first £1bn of lending need to become reliable, observable, automated systems — covering everything from reconciliations and reporting to payments operations, collections workflows, and the day-to-day tooling our internal teams rely on. This is a hybrid engineering and product role. You'll sit close to Finance, Operations, and other business stakeholders, working out where automation moves the needle, shaping the requirements yourself, and then leading the delivery end-to-end. You won't be handed a backlog — you'll build one, defend it, and ship against it. The role combines hands‑on engineering, technical leadership, and stakeholder ownership. You'll contribute directly to the codebase while guiding a small team's delivery, mentoring engineers, and maintaining strong engineering practices through code review, testing standards, and pragmatic technical decisions. As the team grows, there is scope for this role to take on formal line management — prior management experience is welcome but not required. We value engineers who take ownership, bring clarity to ambiguous business problems, and care as much about the outcome for the business as the elegance of the code.
Our technology stack:
- Python (FastAPI, SQLAlchemy, OpenTelemetry, Procrastinate)
- PostgreSQL
- Liquibase
- Docker
- AWS
Who you are:
- Strong experience building production systems in Python, including async code, type hints, and a serious approach to testing.
- A product mindset — you measure success by the problem solved, not the ticket closed, and you're comfortable pushing back on requirements that don't make sense.
- Experience working directly with business stakeholders (Finance, Operations, Compliance, or similar) to understand how their function actually works, gather requirements, and translate them into reliable systems.
- Genuine interest in how finance and operations functions run — reconciliations, ledgers, reporting, payment flows, ops workflows — or a strong track record of picking up unfamiliar business domains quickly.
- Strong engineering judgement and the ability to make pragmatic technical trade-offs, especially when building for internal users where reliability and auditability matter more than novelty.
- Experience maintaining business‑critical systems and supporting them in production.
- Strong sense of ownership across the full lifecycle: discovery, design, build, deployment, and support.
- Experience working with cloud infrastructure (AWS, GCP, or Azure).
- Comfortable in fast‑paced environments where accuracy, reliability, and clear communication are essential.
Nice to have:
- Experience managing or formally line‑managing engineers — this role can grow into a management role, but it's not required on day one.
- Prior experience automating finance, accounting, or operations workflows.
- Experience in lending, payments, or financial services more broadly.
- Exposure to data modelling for reporting, audit, or regulatory contexts.
What you'll be doing:
- Partner with Finance and Operations leaders to identify the workflows where automation will have the highest impact, and shape a roadmap you can defend.
- Run discovery directly with stakeholders — sit with the team doing the work, map the process, challenge assumptions, and turn what you learn into clear requirements.
- Design and build Python services that automate finance and operations workflows end-to-end, from data ingestion through to the reports, actions, and exceptions that land with business users.
- Translate business processes into clear technical plans, with the right level of detail for the team to deliver against.
- Lead a small team of engineers, supporting them through code review, pairing, and technical guidance; line management is available as the team grows and as your interests develop.
- Own the full software development lifecycle — design, implementation, testing, deployment, monitoring, and iteration.
- Provide second-line support during business hours, troubleshooting production issues that affect Finance and Operations users, and feeding what you learn back into the roadmap.
- Help structure the team's delivery process, including sprint planning, sizing, and retrospectives.
- Maintain strong engineering practices — testing standards, observability, and pragmatic technical decisions that balance speed today with maintainability tomorrow.
What we offer:
- Everyone owns a piece of the company — equity.
- Hybrid with 3 days a week in the office.
- 25 days' holiday a year, plus 8 bank holidays.
- 2 paid volunteering days per year.
- One month paid sabbatical after 4 years.
- Employee loan.
- Free gym membership.
- Team wellness budget to be active together — set up a yoga class, a tennis lesson or go bouldering.
Lead Software Engineer - Finance and Operations Automations employer: United States Digital Space LLC
As a leading fintech redefining consumer lending, we offer an exceptional work environment that fosters innovation and personal growth. Our hybrid work model promotes flexibility, while our commitment to employee well-being is reflected in generous benefits such as equity ownership, extensive holiday allowances, and wellness initiatives. Join us to take ownership of impactful projects, collaborate closely with business leaders, and advance your career in a fast-paced, supportive culture.
Contact Details:
United States Digital Space LLC Recruitment Team
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We think this is how you could land Lead Software Engineer - Finance and Operations Automations
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We think you need these skills to ace Lead Software Engineer - Finance and Operations Automations
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Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at United States Digital Space LLC.
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How to prepare for a job interview at United States Digital Space LLC
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If United States Digital Space LLC uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
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Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
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