Quantitative Researcher - Entry Level 2027

Belvedere Trading is a leading proprietary trading firm proudly headquartered in downtown Chicago. Our traders work hard to provide liquidity to the market through their market-making activities and are the masters of a diverse set of commodities, interest rates, exchange-traded funds (ETF), and equity index options. From the beginning, we began iteratively investing in our proprietary technology and committing to building our systems from the ground up. Our trading models and software systems are continually re-engineered, optimized, and maintained to stay on top of the industry. This wouldn’t be possible without the dedicated efforts of our technology teams who utilize and perfect our innovative technology solutions.

High-performance proprietary trading and development is the source of our success and competitive advantage at Belvedere, further fueling our passion for performance. We are a team driven by intellectual curiosity, seeking answers that will change not only how we trade in this technological age, but also the future landscape of the trading industry.

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.

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.