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Eka Finance

High Frequency Machine Learning Trader

Eka Finance Zug, Schweiz
Gepostet vor 2 Tagen Permanent $High
T
Gepostet von
Tina Kaul
Recruiter
Proprietary high frequency trading firm are looking to add a trader with machine learning experience for high frequency trading strategy design.

Responsibilities

You 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

Job ID  TK
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