Junior HFT Quant Trader – Remote or SG/USA

JustQuant

Singapore

On-site

SGD 120,000 - 180,000

Full time

14 days+
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Job summary

JustQuant is seeking a Junior Quant Trader for its HFT program, with the option to work remotely or from Singapore/USA offices. The role emphasizes building, deploying, and executing high-frequency trading strategies across multiple asset classes, including cryptocurrencies, in a highly collaborative setting.

The ideal candidate has 2-3 years in quantitative trading, strong C++ skills for low-latency environments, and solid experience with statistics and machine learning on large, real-time data

Qualifications

  • 2-3 years of experience in quantitative trading, with a focus on HFT (open to MFT backgrounds).
  • Proficiency in C++ for low latency trading environments.
  • Strong quantitative and analytical skills with experience in statistical modeling and machine learning.
  • Experience working with large datasets and real-time market data.

Responsibilities

  • Develop, optimize, and execute high-frequency trading strategies across multiple asset classes, including cryptocurrencies.
  • Collaborate closely with quantitative researchers and developers to refine trading models and infrastructure.
  • Monitor real-time trading performance and adapt strategies to market conditions.
  • Utilize strong programming skills, particularly in C++, to enhance algorithmic trading strategies.
  • Conduct rigorous research and backtesting to improve performance and profitability.
  • Scale successful strategies with access to firm-provided capital and infrastructure.

Skills

C++
Quantitative trading
Machine learning
Statistical modeling
Real-time data

Job description

JustQuant is seeking a Junior Quant Trader for its HFT program, with the option to work remotely or from Singapore/USA offices. The role emphasizes building, deploying, and executing high-frequency trading strategies across multiple asset classes, including cryptocurrencies, in a highly collaborative setting.

The ideal candidate has 2-3 years in quantitative trading, strong C++ skills for low-latency environments, and solid experience with statistics and machine learning on large, real-time data

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