Cross Asset Prop Trading Firm Hiring Quant Researcher/ Hong Kong
Eka Finance
Hong Kong, Hong Kong
2d ago
source : eFinancialCareers

Role : -

  • Perform statistical analysis of historical and current financial market data
  • Process large datasets to detect hidden signals and patterns in order to predict future events
  • Devise and improve pricing models with use of sophisticated statistics models and machine learning techniques
  • Take an idea from inception, through to detailed research, coding, and testing, and ultimately to production release
  • Work with trading and IT team to implement and test trading strategies
  • Requirements : -

  • Degree in Finance, Math, Statistics, Economics, or Computer Science preferred
  • 3-5 years of relevant work experience in proprietary trading, hedge fund, investment banks etc
  • Knowledge in machine learning is a plus
  • Experience in algorithmic / HFT trading / statistical arbitrage trading is a plus
  • Experience in real-time data feed handling, time series analysis and statistical modelling
  • Strong quantitative programming skills in languages such as Python, R are a must, C++, Matlab, SAS are recommended
  • Self-starter that can lead and work independently
  • Strong command of spoken and written English
  • Apply : -

    Please send a PDF resume to quants ekafinance.com

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