High Frequency Machine Learning Trader

Eka Finance

  • Zug
  • Unbefristet
  • Vollzeit
  • 21 Tage her
ResponsibilitiesYou will be responsible for building next – generation algo frequency trading strategies and systems using applied machine learning techniques.
  • Designing, implementing, and deploying high-frequency trading algorithms
  • Exploring trading ideas by analyzing market data and market micro-structure for patterns
  • Creating tools to analyze data for patterns
  • Contributing to libraries of analytical computations to support market data analysis and trading
  • Developing, augmenting, and calibrating exchange simulators
Requirements:-You must have 3+ years of commercial experience in leveraging large datasets and machine learning techniques for high frequency trading strategy design.
  • Proficiency in back-testing, simulation, and statistical techniques (auto-regression, auto-correlation, and Principal Component Analysis)
  • Solid data-mining and analysis skills, including experience dealing with a large amount of data/tick data
  • Familiarity with signal generation and statistical models
  • Strong programming skills in C++, MATLAB, and R
  • PhD / Masters.
The role will be based in Zug. You will ideally be based in Switzerland or have a strong interest to relocate.Apply:-Please contact Tina Kaul with a PDF resume at quants@ekafinance.com

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