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Cash Equity Quant Researcher / London/ New York - $Open

Eka Finance
London
1 year ago
Applications closed

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Data Scientist - Acquisition Tech Team

 

Role:-

 

 

  • Perform rigorous and innovative research to discover systematic anomalies in the equities market
  • End-to-end development, including alpha idea generation, data processing, strategy backtesting, optimization, and production implementation
  • Identify and evaluate new datasets for stock return prediction
  • Maintain and improve portfolio trading in a production environment
  • Contribute to the analysis framework for scalable research

 

 

 

 

 

Requirements:-

 

  • MS or PhD in mathematics, statistics, machine learning, computer science, engineering, quantitative finance, or economics
  • 3+ years of work experience in systematic alpha research in cash equities, with exposures to statistical arbitrage or alternative data research
  • Fluency in data science practices, e.g., feature engineering. Experience with machine learning is a plus
  • Experience with signal blending and portfolio construction
  • Demonstrated proficiency in Python
  • Highly motivated, willing to take ownership of his/her work
  • Collaborative mindset with strong independent research abilities

 

 

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