Two Sigma
Quantitative Researcher - Execution Modeling
$165K–$300K
NY New York · Full-time · Posted Oct 28, 2026
- Experience
- 5-15 years in execution research, algorithmic trading, market-making, or high-frequency trading at a financial firm.
- Education
- Formal training in statistics, applied mathematics, operations research, economics, computer science, physics, engineering, or a related quantitative field. A PhD is a plus but not required.
About the job
Research and develop execution models, trading tactics, and simulations to reduce trading costs and improve execution across asset classes.
What you'll do
- Optimize order scheduling and improve its interaction with trading tactics and portfolio optimizers; improve execution simulation and market impact models.
- Develop short-horizon signals and use order and fill data to improve tactics, order placement, venue selection, and execution alpha.
- Design production experiments and performance metrics, and take research from hypothesis testing through production deployment and monitoring.
What they ask for
- 5-15 years of experience in execution research, algorithmic trading, market-making, or high-frequency trading at a financial firm.
- Deep understanding of market microstructure and hands-on experience with market impact modeling, transaction cost analysis, or execution simulation.
- Experience applying machine learning to trading, execution, or modeling problems; strong programming skills in Python, Java, or C++.
- Strong quantitative skills and experience with large intraday market datasets; ability to own research end-to-end and communicate effectively.
Nice to have
- PhD is a plus but not required.
- Experience with full order-by-order (L3) data is a significant plus.
Pay
$165,000 to $300,000 USD base salary
Tools
Python, Java, C++, Linux, LLM
AI focus
Apply machine learning techniques to trading, execution, or modeling problems; LLM literacy is also listed.
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