Location: Remote or New York, NY (In-Person Preferred)
Company: Blockhouse
Job Type: Full-Time (In-office, 5 days / week)
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, crypto and fixed income markets.
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 algorithmic execution pipelines.
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.
Design and implement components of our 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
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)
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.
Blockhouse supports CPT/OPT, is e-verified, and accommodates flexible international payment arrangements.
If you're interested, we encourage you to submit your resume directly on this platform. We look forward to hearing from you.
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