Quantitative Researcher - Entry Level 2027

Belvedere Trading•Chicago, IL

11d•Onsite

About The Position

Belvedere is searching for a Quantitative Researcher to join our Quant Research & Development team. The Quant R&D team works closely with both traders and developers to build algorithmic solutions from idea generation to roll out to increase the firm’s profitability. As a Quantitative Researcher, you will contribute directly to research, development, and implementation of models and tools that help drive automated decision making throughout the firm. Through your quant research, you will be an integral participant in Belvedere’s long-term growth by improving and expanding the firm’s existing trading strategies.

Requirements

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.

Responsibilities

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.