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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

High Frequency Machine Learning Trader

Details zum Jobangebot

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