Quant Investment Company Recruiting Senior Quant

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timePosted 4 days ago location United States salarySalary undisclosed
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Job Description

Role:-

 

This role is ideal for an experienced researcher to join a well-positioned team at an early stage to deliver measurable and long-lasting PnL impact while collaborating with individuals with proven experience building some of the most profitable high-frequency strategies in the world.

 

You will:-

  • Contribute to and drive research projects with heavy PnL impact, including alpha signal generation, statistical modelling and machine learning, strategy simulation and calibration, post-trade analysis, and so forth.
  • Develop or improve the team’s research pipeline and simulation environments
  • Write production trading strategies (C++)

 

 

 

 

 

Requirements:-

 

  • Significant experience in alpha generation or strategy research in quantitative trading, preferably in high-frequency trading
  • Significant experience in building research pipelines and tools for quantitative trading that process large volume of data in cloud or distributed computing environments
  • Significant experience in trading equities and/or futures in US and other major global markets
  • Strong publication record in machine learning, statistical modeling, optimization, signal processing, computer vision, natural language processing or a similar data-driven research field, e.g., NeurIPS, ICML, ICLR, AAAI, KDD, JMLR, PAMI, etc. for machine learning.
  • Bachelors or advanced degree in a STEM major
  • Strong intuition, hands-on mentality, and keen interest in playing with data
  • Knowledge of statistics, statistical modeling or machine learning techniques and knowing whether, when and how to apply them in data-driven research
  • Programming skills in C++
  • Programming skills in Python or other scripting languages
  • Ideally 4+ years of working experience in quantitative trading, preferably in high-frequency trading
  • Demonstrated ability to write well-documented code
  • Passion for building research pipelines and tools

 

 

 

 

Apply:-

 

Please send a PDF resume to [email protected]