Quant Researcher/Senior Trading Analyst

Job Type
Emp Type
Full Time
Salary Type
Job ID

Job Description

Our client is a competitive Global Proprietary Trading Firm/Private Equity Fund, running a substantial AUM. The Trading Unit is well structured by a team of talented IT professionals and quants from famous trading firms and top universities. 

Quant Researcher: 

  • Responsible for conducting quant research and statistical analyses to identify and evaluate trading strategies across various asset classes
  • Develop and implement quant models and algorithms to extract specific insights and signals for trading purposes 
  • Deal with a high volume of data sets to perform market prediction, scenario analysis, risk analysis, and backtesting on trading strategies
  • Advanced degree in Computer Science, Physics, Mathematics, Statistics, or related fields 
  • Hands-on programming in Python and SQL 
  • Proficient in Statistics (like time series, machine learning, and regression analysis)
  • Experience in working through large data and/or trading instruments and utilizing algorithms
  • Fluent in both Chinese Mandarin and English 

(Senior) Middle Office Trading Analyst

  • Develop and maintain daily trade reconciliation across multiple asset classes, as well as investigating the reconciliation breaks 
  • Assist front office in trade planning and decision making e.g monitoring media and digital asset exchange announcement 
  • Engage in the design of trading components such as risk portfolio, price logs, pre and post-trade analysis, and product analysis 
  • Bachelor of Computer Science, Finance, Mathematics, Business Analytics, or related field
  • 3+ years of experience in Middle Office Operation/Trading/Business Analysis or related field 
  • Proficiency in MS Excel, SQL, and Python 
  • Good understanding of the software/trading lifecycle
  • Basic experience in xPath or Regex is a plus (willingness to learn)
  • Fluent in both Chinese Mandarin and English 
#MatchTalent #Quantitative # Operations #Research #MachineLearning #Trading