Systematic Equities Quant Developer

1 month ago


Chicago, United States Eka Finance Full time

Role:-

 

  • Partner closely with the Senior Portfolio Manager to develop  data engineering and model prediction tools for systematic trading and monitoring
  • Assist in designing, coding, and maintaining tools for the systematic trading infrastructure of the team
  • Perform data analysis and generate live and historical analytical reports
  • Stay current on state-of-the-art technologies and tools including technical libraries, computing environments and academic research
  • Collaborate with the Senior Portfolio Manager and the trading group in a transparent environment, engaging with the whole investment process

 

 

 

 

Requirements:-

 

 

  • Strongly skilled/expert in Python with at least 3 years of experience.
  • Master’s, or PhD degree in Computer Science, Engineering, Applied Mathematics, Statistics or related STEM field
  • Strong quantitative skills to leverage while building out quantitative tools for research
  • Experience using statistical or machine learning techniques to build a scalable and robust program
  • 2-5 years of experience in finance or technology
  • Previous exposure to a systematic trading environment or equivalent sell-side experience
  • Experience in efficient database management
  • Knowledge of machine learning and statistical techniques and related libraries
  • Participation in mathematical, programming, or trading competitions

 

  •  

 

Please send a PDF resume to quants@ekafinance.com



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