We have a unique role that offers CTO job title and equity in the business, but allows you to work as an IC 50%+ of your time, leveraging advanced AI tooling to have a broad impact on a small London-based team of 8 who manage $2bn of assets.
What we're looking for is a confident, opinionated full stack developer who built a solid engineering skillset in the pre-AI world, but has adapted in a sensible way to modern AI tools.
You will have some experience of managing people, but you will also have kept your skills fresh, and be keen to ship code yourself in a flat, meritocratic hierarchy.
Domain knowledge
- Ideally you will have some domain knowledge in hedge funds, asset managers, banks, trading platforms, or FinTechs, through professional experience.
- Experience with Market and Reference data (Bloomberg, Refinitiv, FactSet) all desirable.
Technical skills
- Python engineering: polars, pandas, NumPy, plus API and service work with FastAPI or Django.
- TypeScript with React: for internal tools, dashboards and portfolio or risk views.
- SQL and data modelling: Postgres or SQL Server, and time-series storage for prices and positions.
- Solid fundamentals: testing, code review, system design, debugging, and knowing when not to over-engineer for a team of eight.
- AI coding tools: heavy, disciplined use of tools like Claude Code, Cursor or Copilot, with good judgment about reviewing and testing what they produce.
- Building with LLM APIs: for example, internal assistants or search over research notes, broker reports and filings, plus automating document-heavy operations work.
- Data governance for AI: keeping inside information and confidential investor data out of third-party models, choosing enterprise agreements with no-training terms, and being able to explain all this to compliance.
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