Apply for this job now

High Frequency Machine Learning Trader

Location
Zug
Job Type
Permanent
Posted
8 Sep 2022

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

Apply for this job now

Details

  • Job Reference: 707334988-2
  • Date Posted: 8 September 2022
  • Recruiter: Eka Finance
  • Location: Zug
  • Salary: On Application
  • Sector: Banking & Financial Services
  • Job Type: Permanent