Quantitative Researcher

United States·ChicagoFull-Timemid

OtherQuantitative Researcher

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Quick Summary

Overview

Belvedere Trading is a leading proprietary trading firm. 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.

Technical Tools

cpppythonstatistical-modeling

Our traders 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. Traders partner with our technologists to continually engineer and optimize our trading systems to stay on top of the industry.

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.

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. 