Junior Quant Researcher: Python-powered Trading Models

Belvedere Trading, LLC

Chicago (IL)

On-site

USD 126,000 - 154,000

Full time

12 days ago

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Job summary

Belvedere Trading, LLC is seeking a Quantitative Researcher to join its Quant R&D team in Chicago. You will build and implement models that support automated decision-making across market-making and systematic trading.

You will work closely with traders and developers to translate research into production-ready strategies, monitor performance, and continually refine models to adapt to changing markets.

Qualifications

  • Advanced degree in Mathematics, Statistics, Physics, Financial Engineering, or related discipline.
  • 2+ years of experience in quantitative research in trading or related field.
  • Strong proficiency in Python or C++ for research, prototyping, and production.
  • Experience with large datasets, statistical modeling, or algorithmic workflows.
  • Ability to communicate results clearly to technical and non-technical stakeholders.
  • Curiosity, problem-solving, and production-aware research mindset.

Responsibilities

  • Work with traders to prioritize hypotheses, interpret results, and translate research into deployable strategies.
  • Design, test and deploy quantitative models for pricing, risk, and execution.
  • Build and maintain research tools (Python, Jupyter) for testing and monitoring models.
  • Collaborate with traders, technologists, and researchers to align research with production decisions.
  • Monitor and enhance models to account for market dynamics and data drift.
  • Combine statistics, market microstructure, and engineering to deliver robust edge and PNL.

Skills

Python
C++
Version control
Data analysis
Statistical modeling
Communication
Collaboration
Quantitative research
Quant research
Jupyter

Education

Master's / PhD in quantitative field

Tools

Python
Jupyter

Job description

Belvedere Trading, LLC is seeking a Quantitative Researcher to join its Quant R&D team in Chicago. You will build and implement models that support automated decision-making across market-making and systematic trading.

You will work closely with traders and developers to translate research into production-ready strategies, monitor performance, and continually refine models to adapt to changing markets.

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