Quantitative Researcher - Entry Level 2027

Belvedere Trading•Chicago, IL
•Onsite

About The Position

Belvedere Trading is seeking a Quantitative Researcher to join their Quant Research & Development team. This team collaborates closely with traders and developers to create algorithmic solutions, from initial concept to implementation, aimed at enhancing the firm's profitability. As a Quantitative Researcher, you will be directly involved in the research, development, and implementation of models and tools that support automated decision-making across the firm. Your quantitative research will play an integral role in Belvedere's long-term growth by refining and expanding the company'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.

Benefits

  • Discretionary bonuses
  • Comprehensive study materials and dedicated time for SIE and Series 57 license acquisition
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