High Frequency Machine Learning Trader

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