Job description

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. 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. 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. Women and underrepresented groups frequently apply to jobs only if they meet 100% of the qualifications. We encourage you to break that mold and apply. No candidate is perfect; all have a lot to offer. We welcome your application. Core Values The secret to our award-winning culture is our Core Values: Team Belvedere, Me In Team, Own It, Build Rockets, and Passionate Discourse. We live and breathe these values every day. Compliance For our trading positions and certain engineering roles, the SIE and Series 57 licenses are required; Belvedere Trading will provide comprehensive study materials and allocate dedicated time during the onboarding process to ensure your success in obtaining these certifications. Our Stance Belvedere is an Equal Opportunity Employer and is committed to providing a non-discriminatory employment environment for its employees. Discrimination against employees and applicants due to race, color, religion, sex, national origin, disability, age, military, and veteran status is prohibited. Belvedere encourages initiatives to increase diversity and provide equal opportunity to all applicants and employees. Belvedere is committed to providing a positive environment in which team members are treated with respect, dignity, and courtesy. Our firm believes in a dynamic culture of inclusion and diversity, where people thrive on individual and organizational characteristics, values, experiences, and backgrounds. Please note that Belvedere Trading does not accept unsolicited resumes from search firms or employment agencies. Any unsolicited resumes will become the property of Team Belvedere. No phone calls, please. Work Schedule: Regular and reliable attendance during business hours with the ability to be on-site prior to the start of business on occasion Physical: Ability to remain at a desk and concentrate for long periods of time Amount of Travel Required: None Sponsorship : Yes

Requirements

Must-haves

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.
Intellectual curiosity, problem-solving ability, and a pragmatic approach to research that balances innovation with production impact.
Women and underrepresented groups frequently apply to jobs only if they meet 100% of the qualifications.
We encourage you to break that mold and apply. No candidate is perfect; all have a lot to offer.
We welcome your application.
The secret to our award-winning culture is our Core Values: Team Belvedere, Me In Team, Own It, Build Rockets, and Passionate Discourse. We live and breathe these values every day.
Please note that Belvedere Trading does not accept unsolicited resumes from search firms or employment agencies. Any unsolicited resumes will become the property of Team Belvedere. No phone calls, please.
Work Schedule: Regular and reliable attendance during business hours with the ability to be on-site prior to the start of business on occasion
Physical: Ability to remain at a desk and concentrate for long periods of time
Amount of Travel Required: None
Sponsorship : Yes

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

python

Platform: lever
Effort: quick