Quantitative Researcher - Trading & Execution
Schonfeld Strategic Advisors - New York, New York, United States
Posted Jul 29, 2025
Benefits
- Parental leave
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- Non-birth-parent leave
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- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
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- Relocation assistance
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- Childcare support
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- Learning budget
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- Salary
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- 401(k) match
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Schedule
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- Weekend work
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Application
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- Deadline
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Where they hire
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About this role
Quantitative Researcher - Trading & Execution New York, New York, United States The Role We are seeking an experienced researcher to join the Execution Services team, focusing on systematic execution and trading research globally. This candidate will be part of a team committed to enhancing the firm's execution processes through quantitative methods and advanced technologies. The role involves close collaboration with portfolio managers, traders, technologists, operations specialists, and brokers to conduct research, develop electronic trading algorithms and solutions, and build analytics and tools. What you'll do The Quantitative Execution Researcher will integrate execution research into trading decisions, focusing on reducing trading costs through rigorous measurement, research, and experimentation. The successful candidate will establish a framework to capture and normalize all datasets necessary for measuring and monitoring systematic execution. Responsibilities include estimating statistical significance in execution performance across algorithms and parameters, maintaining strategy routing tables to probabilistically direct flow across brokers and algorithms, developing and calibrating market impact models for real-time systems and simulations, evaluating academic research relevant to trading costs, market microstructure, and micro-pricing, and providing expertise to the development team on optimal order scheduling, routing, slicing, and venue selection. What you'll bring What you need: - PhD or master's degree, ideally in mathematics, statistics, computer science, financial engineering, or a related field. - Minimum of 3 years of experience in execution research and algorithmic trading. - Self-starter with an entrepreneurial spirit and a passion for quantitative finance. - Excellent analytical skills with a strong foundation in modeling, statistics, probability,
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