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Quantitative Researcher

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Job Type:
Full-Time
Location:
Chicago, IL USA
Date Posted:
April 30, 2025

About Spartak Trading LLC

Spartak Trading is a proprietary trading firm that is technology-driven, deploying our capital across a broad range of asset classes, instruments, and strategies, in financial markets. Spartak Trading is based in Chicago and is a member firm of CME Group and Eurex Exchange.
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Spartak Trading LLC is a privately held, proprietary trading firm in Chicago, and we have memberships at the CME Group and Eurex exchanges.  Spartak maintains a low profile and doesn’t advertise or solicit customers. Over the past few years, we have developed our proprietary trading systems for internal use at various exchanges and we are looking to expand our development team through internship programs and recruitment at various universities.

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The Role

We are seeking a talented and experienced Quantitative Researcher to join our trading team. As a Quantitative Researcher, you will play a critical role in developing and implementing cutting-edge trading strategies and models to capitalize on market opportunities in high-frequency trading environments.

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Responsibilities

  • Conduct research and analysis on financial markets, data, and trading strategies to identify alpha-generating opportunities for high-frequency trading.
  • Develop, backtest, and optimize quantitative trading models and algorithms using advanced statistical techniques, machine learning, and mathematical modeling.
  • Collaborate closely with traders, developers, and other team members to translate research findings into production-ready trading strategies.
  • Design and implement trading infrastructure and systems for real-time data processing, order execution, risk management, and performance monitoring.
  • Work with large-scale noisy financial datasets, including market data, tick data, and historical time series data, to extract relevant insights and build predictive models.
  • Analyze market microstructure dynamics, liquidity patterns, and execution costs to optimize trading strategies for speed, efficiency, and profitability.
  • Collaborate with software developers to implement trading models and algorithms in low-latency trading systems, leveraging high-performance computing techniques.
  • Conduct post-trade analysis and performance attribution to evaluate the effectiveness of trading strategies and identify areas for improvement.

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Qualifications

Must have

  • Advanced degree (Ph.D. or Masters) in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, Finance, or a related discipline.
  • Proven experience in quantitative research, algorithmic trading, and high-frequency trading within a proprietary trading firm, hedge fund, or financial institution.
  • Strong programming skills in languages such as Python, C++, R, or MATLAB, with experience in numerical computing libraries and frameworks (e.g., NumPy, SciPy, Pandas).
  • Solid understanding of statistical analysis, time series analysis, machine learning techniques, and optimization methods applied to financial markets.
  • Familiarity with electronic trading platforms, exchange protocols, market data feeds, and order execution strategies in high-frequency trading environments. Knowledge of market microstructure, order book dynamics, and algorithmic trading strategies commonly used in HFT.
  • Experience with low-latency trading systems, high-performance computing, and parallel processing techniques.

Nice to have

  • Solid math and programming industry experience a plus

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Additional Information

A passion for financial markets, quantitative analysis, and continuous learning.

If you're a highly motivated quantitative researcher with a passion for developing innovative trading strategies and thrive in a dynamic and fast-paced environment, we encourage you to apply.

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APPLY FOR THE POSITION

Apply Today

Please fill out the application—if there’s a fit, we’ll be in touch.

Quantitative Researcher

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