Quantitative Developer Internship

Quantitative Development Intern – Execution Infrastructure

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.