HFT Quant Trader

HWTS Global
Chicago, US
On-site

Job Description

HFT Quant Traders – London | Amsterdam | Singapore | New York | Chicago

Prop Trading Firm | Multi-Asset | Machine Learning-Driven

Our client are expanding their global presence and seeking exceptional HFT Quant Traders to join a growing proprietary trading firm operating across Equities, Crypto, Fixed Income, and Futures.

You’ll work alongside world-class researchers and engineers to design, develop, and deploy high-frequency, machine learning-driven strategies in some of the most competitive markets globally.

Key Responsibilities:

  • Research, design, and implement HFT strategies across global markets
  • Develop alpha models and execution logic using advanced ML frameworks
  • Optimize latency, infrastructure, and trading performance end-to-end
  • Manage risk and capital allocation autonomously within firm parameters
  • Collaborate with global teams to refine data pipelines and signal generation

Requirements:

  • Proven success running or contributing to profitable HFT or ultra-low-latency strategies
  • Strong knowledge of market microstructure in one or more asset classes
  • Proficiency in Python and/or C++ for research and production
  • Solid understanding of Machine Learning (Deep Learning, RL, or statistical models)
  • Minimum Master’s degree in a quantitative field (PhD preferred)
  • Entrepreneurial mindset and ability to thrive in a fast-paced environment

Locations: London | Amsterdam | Singapore | New York

Compensation: Highly competitive, performance-linked

Skills & Requirements

Technical Skills

PythonC++Machine learningDeep learningRlStatistical modelsHftProp tradingMachine learning-driven

Employment Type

FULL TIME

Level

senior

Posted

4/20/2026

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