Build and run the data pipelines that feed the fund: prices, volumes, fundamentals, and filings from market data providers (e.g., Polygon, LSEG) and SEC EDGAR.
Build scrapers that collect earnings materials and investor relations documents from listed companies.
Design and maintain the fund's data lake, so the investment team can query clean and reliable data.
Build the tools behind the strategy: screenings, signal testing, backtests, and a portfolio simulator that accounts for real trading costs.
Connect our systems to broker APIs for execution, reconciliation, and reporting.
Use AI tools to sharpen analysis, productivity, and insights.

Python and working knowledge of SQL.
Experience building data pipelines, scrapers, or API integrations, from work, personal projects, or competitions.
Comfort with data analysis: you know when a result is too good to be true.
High agency: you take ownership and move things forward on your own.
Adaptability and comfort in a fast-changing environment.
Genuine interest in financial markets and in using AI in your daily workflow. You don't need market experience, you need curiosity to learn it fast.
Upper-intermediate to advanced English.

Engineer – Investments

Key skills