Quantitative Researcher - Trading & Execution
About The Position
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. 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.
Requirements
- 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, and optimization.
- Strong knowledge of equities trading, market microstructure/micro-pricing, and hedge fund operations.
- Solid programming skills, including but not limited to Linux, KDB/Q, and Python.
- Ability to manage multiple tasks in a fast-paced environment with strong attention to detail.
- Excellent communication skills and the ability to collaborate effectively with others.
Nice To Haves
- Experience with optimization, machine learning, and data visualization.
- Ability to work independently and identify opportunities to create and improve systems without direction.
- Prior experience in trading signals and/or alpha research is a plus
Responsibilities
- Integrating execution research into trading decisions
- Reducing trading costs through rigorous measurement, research, and experimentation
- Establishing a framework to capture and normalize all datasets necessary for measuring and monitoring systematic execution
- 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
- Providing expertise to the development team on optimal order scheduling, routing, slicing, and venue selection
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Number of Employees
501-1,000 employees
