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Trexquant

Global Alpha Trader (GLOBAL)

United StatesRemote1+ YOE
Summary

Develops and executes systematic trading strategies across asset classes using quantitative methods, machine learning, and statistical techniques on the Trexquant Alpha Platform. Requires 1+ year track record in systematic strategies and strong Python skills with NumPy/Pandas.

About the role

Responsibilities

  • Use quantitative methods to systematically build medium-frequency portfolios
  • Develop systematic strategies across various asset classes
  • Apply machine learning and statistical techniques to trading
  • Simulate and execute strategies on the Trexquant Alpha Platform

Requirements

  • Higher education degree (bachelor's, Master’s, or Ph.D.) in Math, Engineering, Statistical Modeling, Computer Science or related fields
  • At least one year of proven track record in operating systematic strategies in any asset class
  • Strong quantitative skills and proficiency in numerical tools such as NumPy and Pandas on Python

Benefits

  • Compensation based on a percentage of profits generated by your strategies
  • Flexibility to work remotely
  • Access to proprietary technology platforms
  • Mentoring and guidance from experienced portfolio managers and traders
Skills
PythonNumPyPandasMachine LearningQuantitative AnalysisStatistical ModelingBacktestingTrexquant Alpha Platform
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