Quantitative Developer, Low-Latency Trading Tech

Venture Search

Chicago (IL)

On-site

USD 150,000 - 230,000

Full time

14 hours ago
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Job summary

Venture Search is seeking a Quantitative Developer to join its trading technology team. You will focus on developing and enhancing the research infrastructure supporting quantitative systematic strategies, alongside production-level development and optimisation of strategies across futures and other derivatives.

The ideal candidate will have a strong foundation in C++ and/or Python, a sound understanding of market microstructure and a passion for building high-performance trading infrastructure.

Qualifications

  • Experience with fully systematic high-frequency trading (HFT) or medium-frequency trading (MFT) strategies, including backtesting and execution.
  • Proficiency in C++ and Python for production environments.
  • 3+ years of relevant industry experience in futures markets, CME.
  • Strong numerical programming skills with NumPy and SciPy.
  • Experience with statistical modelling, signal processing or machine learning.

Responsibilities

  • Research infrastructure and tooling for data sampling, quantitative analysis, simulation, backtesting and post-trade analysis.
  • Develop and integrate quantitative systematic strategies, migrating them from the research environment to the production trading platform.
  • Develop and maintain low-latency trading execution systems across equities, derivatives and digital assets.

Skills

C++/Python proficiency
HFT/MFT trading experience
Math/Statistics/CS background
Market microstructure knowledge
Quantitative modelling / ML beneficial

Tools

NumPy
SciPy

Job description

Venture Search is seeking a Quantitative Developer to join its trading technology team. You will focus on developing and enhancing the research infrastructure supporting quantitative systematic strategies, alongside production-level development and optimisation of strategies across futures and other derivatives.

The ideal candidate will have a strong foundation in C++ and/or Python, a sound understanding of market microstructure and a passion for building high-performance trading infrastructure.

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