Quick overview
Job description
What You'll Do
- Work closely with traders to prioritize hypotheses, interpret results, and translate research into deployable trading strategies.
- Design, test, and deploy quantitative models that drive pricing, risk, and execution in market-making and systematic trading.
- Build, improve, and maintain research tools (e.g., Python, Jupyter) for testing, backtesting, validating, and monitoring models and strategies.
- Collaborate closely with traders, technologists, and senior quantitative researchers to ensure strong alignment between research insights and production trading decisions.
- Continuously monitor and enhance existing models and strategies, adjusting for market dynamics, data drift, and performance deviations.
- Combine statistical rigor, market microstructure knowledge, and engineering fluency to deliver robust edge and provable PNL.
What You'll Need
- Advanced degree (Master’s or PhD) in a quantitative field such as Mathematics, Statistics, Physics, Financial Engineering, or a related discipline.
- 2+ years of experience in quantitative research in trading or a related field.
- Strong proficiency in Python or C++ for model research, prototyping, and production implementation; experience with version control and collaborative development workflows
- Experience working with large datasets, statistical modeling, or algorithmic workflows.
- Demonstrated ability to analyze model outputs and communicate results clearly to both technical and non-technical stakeholders. Strong collaboration skills with developers, traders, and other researchers in a fast-paced, iterative environment.
- Intellectual curiosity, problem-solving ability, and a pragmatic approach to research that balances innovation with production impact.
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