Engineer - Investments

📋 Description

• Build and run data pipelines for prices, volumes, fundamentals, and filings.
• Build scrapers for earnings materials and investor relations docs.
• Design and maintain the fund's data lake for clean, reliable data.
• Build strategy tools: screenings, backtests, and a portfolio simulator.
• Connect systems to broker APIs for execution, reconciliation, and reporting.
• Use AI tools to sharpen analysis and insights.

🎯 Requirements

• Python and working knowledge of SQL.
• Experience building data pipelines, scrapers, or API integrations (work, school, 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.
• Interest in financial markets and AI; English level: upper-intermediate+

🎁 Benefits

• Experience with cloud data stacks (AWS, GCP, BigQuery) and orchestration.
• Experience with financial or market data (tick data, fundamentals, filings).
• Backtesting or quant work: Kaggle competitions, trading bots, or self-built tools.
• Experience at fintechs, funds, brokerages, or data-heavy companies.