Quantitative Researcher

A new proprietary HFT company has been established to deliver and trade new alpha models in a high volatility and inflationary environment. You will be part of a team of experienced quants, traders and engineers. A Quantitative researcher who has at least 2 years of front-office experience dealing with microstructure model enhancements, day-to-day trading performance and risk management. The initial models are ready to go on US markets so a willingness to work US hours in Hong Kong will be requi

- Hong Kong - Full time

Salary: Competitive

A new proprietary HFT company has been established to deliver and trade new alpha models in a high volatility and inflationary environment. You will be part of a team of experienced quants, traders and engineers. A Quantitative researcher who has at least 2 years of front-office experience dealing with microstructure model enhancements, day-to-day trading performance and risk management. The initial models are ready to go on US markets so a willingness to work US hours in Hong Kong will be required.

What we are looking for:

  • PhD in computer science, Econometrics, Electronic Engineering, Mathematics, Physics or Statistics.
  • Have a track record of Published research work in respected journals.
  • Applications from candidates who have complete a Post Doctorate research positions are particularly welcome.
  • Experience in Java or C++ on very large data sets
  • Self-motivated with high curiosity
  • Ability to work independently and with a team

Relevant experience:

  • Linear and non-linear time series and spectral analysis (ARMIA, TAR, VAR, SSA etc...)
  • Machine learning techniques such as DNNs, LSTM, LASSO, Random Forest, XGBoost
  • Multivariate methods such as PCA and ICA, Factors Analysis, Cluster Analysis.

Benefits:

  • Work alongside similar people in an innovative research-driven environment.
  • Ability to use new research techniques on ever-growing data sets.
  • Highly competitive annual bonus payments to successful candidates who demonstrate positive innovation in models and processes.
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