Quantitative Execution Strategist - US Equities
This organization is a next-generation agency execution specialist. Leveraging advanced technology, it empowers institutional investors by providing intelligent, secure access to global trading and liquidity networks, helping drive performance through data-driven execution solutions.
The Quantitative Strategist will support the development and enhancement of algorithmic equity trading strategies. This role blends quantitative research, model development, and hands-on testing to improve execution quality and trading efficiency.
- Develop and refine models to support equity execution algorithms.
- Conduct quantitative analysis and back-testing of trading strategies.
- Translate research findings into practical algorithmic improvements.
- Define technical specifications and validate model functionality.
- Monitor and analyze performance to guide future enhancements.
- Advanced degree (Master's or PhD) in a quantitative field (e.g., Mathematics, Statistics, Computer Science, Engineering).
- Proficiency in Python (or R) and strong coding discipline.
- Experience with machine learning concepts and applications.
- Excellent attention to detail and analytical thinking.
- Familiarity with tools such as SQL, Git, and Jupyter Notebooks.
- Knowledge of equity markets, trading systems, or FIX protocol.
- Prior experience with algorithmic execution strategies.
- Ability to work both independently and collaboratively in a fast-paced environment.
Hybrid model with flexibility, suited for candidates who thrive in a research-driven, collaborative, and technology-oriented setting.
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