Quantitative Research Internship

Quant Strategist Intern – Execution Algos

Location: Remote or New York, NY (In-Person Preferred)

Company: Blockhouse

Job Type: Part-Time (25 - 30 hours/week)

About Blockhouse

Blockhouse is building cutting-edge execution algorithms that help institutional trading desks minimize slippage and optimize trade routing in real-time. Our flagship product is a smart order routing algorithm designed for volatile and fragmented markets across equities and fixed income. We combine research-grade modeling with practical deployment to deliver robust performance at scale.

We are seeking a Quant Strategist Intern to help prototype and evaluate new smart order routing strategies using high-frequency quote data and parameterized cost models. You’ll work directly on models that simulate live market interactions and drive meaningful performance improvements in execution quality.

What You’ll Do

• Evaluate routing algorithm parameters (e.g., queue penalty, adverse selection cost, overfill/underfill weights) using mocked Level 1 market data.
• Design a structured backtest over quote data to simulate execution, track fills, and calculate implementation costs.
• Compare routing logic performance against baseline benchmarks (TWAP, VWAP, naïve best ask) to quantify cost savings and fill efficiency.
• Report results using clean JSON summaries and modular, reproducible Python code.
• Reflect on potential improvements to the fill simulation and broader real-world routing challenges.
  
  

What We’re Looking For

• Currently pursuing or recently completed a Bachelor’s or Master’s degree in Computer Science, Statistics, Financial Engineering, Applied Math, or a related field.
• Strong proficiency in Python (especially Pandas and NumPy); clean, modular scripting is a must.
• Experience with backtesting, simulation logic, or evaluating model performance.
• Understanding of execution algorithms, queue dynamics, and order book microstructure is preferred but not required.
• Clear thinking about model performance tradeoffs (cost vs. fill quality) and ability to reason from data.
• Ability to document thought process clearly and write production-quality research code.
  
  

Why Join Us?

• Work directly on algorithms that impact real-world trade execution.
• Learn from senior quant researchers and gain experience translating academic research into production-quality systems.
• Fast-paced, intellectually rigorous environment with ownership from day one.
• Fully remote-friendly with optional in-person work 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.