Quantitative Developer Intern

Quantitative Developer Intern – Execution Infrastructure Location: New York, NY (In-Person) Company: Blockhouse Job Type: Full-Time (In-office, 5 days / week) Compensation: Between $20-$35 in cash compensation Note: This role is for candidates with 3 months - 1 year of experience on an algorithmic trading desk (internships included), any asset class but crypto preferred. About Blockhouse Blockhouse is building intelligent execution algorithms for institutional traders. Our platform leverages advanced market microstructure modeling, machine learning, and real-time signal generation to minimize slippage and improve execution quality across equities, and crypto markets. Role Overview We're looking for a quantitative developer intern who thrives at the intersection of research, data engineering, and production systems. This is a hands-on role where you will support core infrastructure that powers our trading operations + algorithm infrastructure. You'll work closely with quants and engineers to build and deploy performance-critical components of our trading platform, including backtesting engines, Kafka-based data streams, and cloud-native systems on AWS. What You'll Do Design and implement components of our trading strategies and algorithms utilizing Python and C++ / Rust Build scalable backtesting pipelines and integrate benchmarking tools Work with Kafka to simulate or ingest real-time market data streams Deploy and test infrastructure on AWS EC2, manage artifacts via S3 Collaborate with researchers to productionize trading strategies and evaluate execution quality Integrate with broker APIs using FIX and REST protocols Contribute to internal tooling, documentation, and model lifecycle management What We're Looking For Have at least 6 months - 1 year of experience on a trading desk, any asset class but crypto preferred Strong proficiency in C++, Python including Pandas, NumPy, and asynchronous programming Familiarity with market microstructure: limit order books, slippage, order types Experience with Kafka, or similar event-driven streaming systems Experience using AWS services: EC2, S3, CLI setup, or cloud-based deployment Exposure to backtesting frameworks or trading simulation environments Solid understanding of Git workflows and clean, modular code practices Bonus: Experience with Clickhouse, FIX APIs, containerization (Docker)

Blockhouse is building intelligent execution algorithms for institutional traders. Our platform leverages advanced market microstructure modeling, machine learning, and real-time signal generation to minimize slippage and improve execution quality across equities, and crypto markets.