Quantitative Research – Full Time (Asia)

Hong Kong, Singapore

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Job Description

Our mission is to be the most successful investment team in the world. Quantitative Researchers play a key role in this mission by developing next-generation models and trading approaches for a range of investment strategies. You’ll get to challenge the impossible in quantitative research by applying sophisticated and complex statistical techniques to financial markets, some of the most complex data sets in the world.
Your Objectives:
  • Conceptualize valuation strategies, develop and continuously improve upon mathematical models, and help translate algorithms into code
  • Back test and implement trading models and signals in an active, live trading environment
  • Use unconventional data sources to drive innovation
  • Conduct research and statistical analysis to build and refine monetization systems for trading signals
Your Skills & Talents:
  • Advanced training in Mathematics, Statistics, Physics, Computer Science, or another highly quantitative field (Bachelors, Masters, PhD degree)
  • Strong knowledge of probability and statistics (e.g. machine learning, time-series analysis, pattern recognition, NLP)
  • Background working in a data driven research environment
  • Experience with NoSQL databases (e.g. MongoDB), distributed computing (e.g. MapReduce), and analytical packages (e.g. R, Matlab)
  • Independent research experience
  • Excellent analytical skills, with strong attention to detail
  • Strong written and verbal communications skills
Opportunities available in Hong Kong and Singapore

About Citadel Securities

Citadel Securities is the next-generation capital markets firm and a leading global market maker. We provide institutional and retail investors with the liquidity they need to trade a broad array of equity and fixed income products in any market condition. The brightest minds in finance, science and technology use powerful, advanced analytics to solve the market’s most critical challenges, turning big ideas into real-world outcomes.