Quantitative Developer Internship

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Arena, Town of Middletown, NY
In-Office
Artificial Intelligence • Fintech • Software • Analytics • Financial Services
The Role
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.

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The Company
HQ: New York, New York
44 Employees
Year Founded: 2022

What We Do

Blockhouse is a financial data platform enhancing best execution with complex post-trade data visualizations and AI-powered analytics. Our technology enhances firms' best execution process - boosting execution efficiency and reducing transaction costs.

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