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Cross Asset Prop Trading Firm Hiring Quant Researcher/ Hong Kong

Hong Kong
Job Type
8 Sep 2022


  • 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


  • 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


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  • Job Reference: 707120035-2
  • Date Posted: 8 September 2022
  • Recruiter: Eka Finance
  • Location: Hong Kong
  • Salary: On Application
  • Sector: Banking & Financial Services
  • Job Type: Permanent