Quantitative Developer Internship

Location: Remote or New York, NY (In-Person Preferred)
Company: Blockhouse
Job Type: Part-Time (25 - 30 hours/week)

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, crypto and fixed income 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 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.

What You’ll Do

• 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

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.

If you're interested, we encourage you to submit your resume directly on this platform. We look forward to hearing from you.