Quantitative Development Intern – Execution Infrastructure
Are you applying to the internship?
Job Description
About Blockhouse
Blockhouse is building intelligent execution algorithms for institutional traders. Their platform leverages advanced market microstructure modeling, machine learning, and real-time signal generation to minimize slippage and improve execution quality across equities, crypto and fixed income markets.
Job Description
Job Title: Quantitative Development Intern – Execution Infrastructure
Location: Remote or New York, NY (In-Person Preferred)
Job Type: Part-Time (25 – 30 hours/week)
Role Overview:
Blockhouse is seeking a Quantitative Developer Intern to support the core infrastructure that powers their algorithmic execution pipelines. This is a hands-on role, working closely with quants and engineers to build and deploy performance-critical components of their trading platform. These components include backtesting engines, Kafka-based data streams, and cloud-native systems on AWS.
What You’ll Do:
• Design and implement components of their Smart Order Router (SOR) and scheduling systems using Python.
• 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:
• Currently pursuing or recently completed a degree in Computer Science, Applied Math, Financial Engineering, or a related field.
• 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)
Why Join Us?
• Work on production-grade infrastructure used in live trading environments.
• Collaborate with experienced quant researchers and ex-HFT engineers.
• Direct ownership over projects with real execution impact.
• Exposure to distributed systems, streaming data, and cloud-native deployment workflows.
• Fast-paced, outcome-driven, and intellectually rigorous environment.
• Fully remote-friendly with optional in-person collaboration in NYC.
• Compensation: Mixture of cash and equity-based compensation, depending on experience and hours committed.
For International Students
Blockhouse supports CPT/OPT, is e-verified, and accommodates flexible international payment arrangements.
