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Citadel2019校园宣讲会
北京大学
举办地点 经济学院泰康报告厅
信息来源 北京大学学生就业指导服务中心
更新时间 2024-05-29 14:03
宣讲时间 2013-10-10 18:00
宣讲会介绍
【日期】2013年10月10日
【时间】18:00-20:00
【地点】经济学院泰康报告厅
Established in 1990, Citadel (www.citadelgroup.com)is a leading global financial institution with a diverse business platformbuilt on a foundation of world-class talent, technology, and infrastructure.From proven asset management strategies to a strong capital markets platform,Citadel converts opportunity into results.
We currently seek talented Technology Professionals and QuantitativeResearchers as we build our Hong Kong-based Research and Technology team withinour Quantitative Trading Strategies group. This group is responsible forapplying the latest techniques from computer science, physics, probability&statistics and applied mathematics to develop trading strategies includingMarket Making, Statistical Arbitrage and Long Term Strategies on all liquidasset classes. As this group contains some of the finest minds within thesefields from top universities, the business is very, very profitable and thepackage on offer is extremely generous.
Specifically, we seek top students (BS, MS and PhD level) who areentrepreneurial, self-starters and enjoy being in an intellectually challengingand dynamic environment. The caliber of individuals within this group isincredibly high so only the very best can be considered.
Depending upon your background, duties andresponsibilities may include:
Apply strong knowledge of programming to support thedevelopment of our advanced trading systems and infrastructure
Translate mathematical models and algorithms into code
Conduct and implement quantitative research onfinancial markets data applying various different techniques to predict andmonetize trading signals
Back test and implement trading models and signals inlive trading environment
Minimum qualifications will include a combination ofthe following:
Strong programming experience with C++/OOD;Experience with one or more statistical packages (e.g. R, Matlab) and exposureto one or more scripting languages (e.g. bash, Python); experience with theLinux Environment and network programming is strong plus
Strong Statistical analysis (time series analysis,ANOVA, experiment design, etc); Knowledge of probability theory (Bayesiantheory, Markov chain, stochastic processes, etc); Experience applying advancedmathematical & statistical techniques to complex data intensive problems
Advanced training from leading academic institutionsin Computer Science (including Machine Learning, AI or related fields),Engineering, Mathematics, Statistics, Economics /Finance or related field
Application Process
Please submit your Resume, Cover Letter and your GPA (with class ranking, ifapplicable) to:
Citadel
Attn: Job Code - 35874HK
Email: CampusPhDRecruiting@citadelgroup.com
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