Engineer - Investments
CloudWalk is building an interplanetary payment network to democratize the financial industry. They offer products like InfinitePay for the Brazilian market, JIM for the US market with instant payments and AI, and STRATUS, a high-performance blockchain for global payment networks.
About CloudWalk
CloudWalk is a technology company focused on creating a global payment network. Their mission is to democratize the financial industry by empowering entrepreneurs with inclusive and life-changing solutions using AI and Blockchain technology. The company's operations are guided by delivering superior products, fostering deep customer engagement, and implementing disruptive economics to offer the best prices. Their key products include InfinitePay, a financial platform for businesses in Brazil; JIM, an AI-powered instant payment solution for the US market; and STRATUS, a high-performance, open-source, permissioned blockchain designed for global payment networks. Stratus is compatible with Ethereum, processes up to 1,800 transactions per second, and is aimed at financial institutions, developers, and enterprises.
Skills
About the Role
You'll build and run the data pipelines that feed the fund, pulling prices, volumes, fundamentals, and filings from market data providers like Polygon and LSEG, as well as SEC EDGAR. You'll build scrapers to collect earnings materials and investor relations documents from listed companies. You'll design and maintain the fund's data lake so the investment team can query clean and reliable data. You'll build the tools behind the strategy, including screenings, signal testing, backtests, and a portfolio simulator that accounts for real trading costs. You'll connect systems to broker APIs for execution, reconciliation, and reporting. You'll also use AI tools to sharpen your analysis, productivity, and insights.
Requirements
- Python and working knowledge of SQL
- Experience building data pipelines, scrapers, or API integrations
- Comfort with data analysis and identifying results that are too good to be true
- High agency and ownership to move things forward independently
- Adaptability and comfort in a fast-changing environment
- Genuine interest in financial markets and in using AI in daily workflow
- Upper-intermediate to advanced English
- Experience with cloud data stacks such as AWS, GCP, BigQuery and pipeline orchestration (nice to have)
- Experience with financial or market data such as tick data, fundamentals, filings (nice to have)
- Backtesting or quant work such as Kaggle competitions, trading bots, or portfolio tools (nice to have)
- Experience at fintechs, funds, brokerages, or data-heavy companies (nice to have)
Responsibilities
- Build and run data pipelines that feed the fund with prices, volumes, fundamentals, and filings from market data providers and SEC EDGAR
- Build scrapers that collect earnings materials and investor relations documents from listed companies
- Design and maintain the fund's data lake for clean and reliable data access
- Build tools for screenings, signal testing, backtests, and a portfolio simulator that accounts for real trading costs
- Connect systems to broker APIs for execution, reconciliation, and reporting
- Use AI tools to sharpen analysis, productivity, and insights