Offer summary

Qualifications:

1+ year of experience in execution trading or market microstructure research., Strong background in execution cost modeling and order book dynamics., Proficiency in Python and/or C++ for model development., Knowledge of TCA methodologies and statistical techniques for execution analysis..

Key responsabilities:

Develop and refine execution algorithms to optimize trade execution.

Analyze execution quality and identify inefficiencies in existing methods.

Design and run backtests to compare execution performance against historical conditions.

Collaborate with engineers to implement research models into production trading environments.

Job description

Quantitative Researcher – Execution Algorithms

Location: New York, NY (In-Person)
Company: Blockhouse
Job Type: Full-Time (40+ hours / week)

About Blockhouse

Blockhouse is redefining trade execution through cutting-edge quantitative research and execution algorithms. Our success stems from a data-driven approach to optimizing execution, blending sophisticated market microstructure modeling, smart order routing (SOR), and transaction cost analysis (TCA) to improve trade performance across equities, fixed income (rates), and crypto markets.

We are seeking a Senior Quantitative Researcher to help develop and refine execution strategies that minimize slippage, optimize order routing, and enhance execution efficiency in real-time market conditions. This role offers a unique opportunity to work at the intersection of quantitative research and trading infrastructure, applying mathematical modeling and high-performance computing to improve execution quality at scale.

What You’ll Do

Develop and refine execution algorithms that optimize trade execution, minimize market impact, and enhance liquidity access.
Analyze execution quality and market microstructure, identifying inefficiencies in existing execution methods.
Design and run backtests to compare execution performance of our strategies against historical market conditions.
Extract and engineer predictive features that improve execution performance across different market conditions.
Collaborate with engineers and developers to implement research models into production trading environments.
Improve and automate backtesting infrastructure to ensure model validation and robustness.

What We’re Looking For

1+ year of experience in execution trading, smart order routing, or market microstructure research.
Strong background in execution cost modeling, order book dynamics, and market impact models.
Proficiency in Python and/or C++ for model development and testing.
Experience in backtesting execution strategies and optimizing execution parameters.
Knowledge of TCA methodologies and statistical techniques for execution analysis.
Prior experience in hedge funds, prop trading firms, or execution desks at major banks is highly preferred.

Why Join Us?

Work on cutting-edge execution algorithms that directly impact real-world trading performance.
Solve complex market inefficiencies using quantitative research and statistical modeling.
Be part of a research-driven trading team where data and execution insights drive product decisions.
High-impact role in a rapidly growing firm solving execution challenges across multiple asset classes.
Compensation: Competitive Base Salary + Significant Equity – Be part of a high-growth firm with strong upside potential.

How to Apply

Submit your application here, and send your resume and a brief description of relevant projects you’ve worked on to pranav@blockhouse.capital with the subject line "First Name, Last Name, Senior Quant Research App". If you have published research, backtests, or case studies on execution optimization, attach those as well.

We look forward to working with you!

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