Quantitative Researcher – Full Time (Asia)

Application Dates
Applications open
1 Jul 2020
Applications closing
30 Apr 2021
Opportunity Overview
Type Graduate Jobs (Full-time)
Location
Hong Kong
Start date
Academic requirements
Level of Study
Bachelor degree
Degree Accepted

At Citadel, 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

Kindly note that your application for the role will be considered in both Citadel and Citadel Securities.

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.