[北京]Citadel 2015校园招聘 北京大学宣讲会

时间: 2014年9月24日 晚上7:00pm - 8:30pm

地点: 北京大学 理科1号楼1560教室

全球顶级对冲基金公司 Citadel (ww***com[点击查看]),专注于前沿量化金融策略的研发,以世界一流的人才团队、高端技术和商业构架为支撑,拥有多元化的商业平台。

Citadel 诚邀北大英才加盟,共建世界领先的金融研发团队,招聘面向最拔尖的本科、硕士和博士生。该公司以创新引领行业突破,吸引卓越人才共创丰硕成果,以优厚回报成就事业舞台。公司为应届毕业生提供良好的职场发展空间和丰厚的报酬,待遇相比投行更具有竞争力。对有志于在金融相关行业发展的同学,这是一个不可多得的机会,可以帮助你开拓在量化金融方向的广阔职场道路。

Citadel 将为对全职工作与实习机会感兴趣的北京大学博士、硕士与学士同学们举行一次校园宣讲会。在本次宣讲会上,Citadel 的精英量化策略团队将派出资深高层亲临会场,和同学们进行面对面的交流互动,让大家进一步了解 Citadel 最新的商业发展和职场机会。本宣讲会不仅面向金融方向求职的学生,同样诚挚欢迎所有感兴趣的同学参与。

Citadel 出席代表:

韩嘉睿     量化策略 中国区主管

(美国斯坦福大学 统计博士 || 北京大学 数学学士 经济学学士)

陈彤       宏观研究 中国区主管

(麻省理工学院 计算机与电子工程博士, 硕士, 学士)

*注册: 请提前注册以便我们更好地安排宣讲会及通知任何更改事项。

请在 9月22日前通过电子邮件联系 Citadel 招聘部门的 Jenny     杨慧婷 (jenny.yeung@) 以确认您的注册或咨询相关事项。

Our vision at Citadel is to bring together a team of exceptional people and empower them – with unparalleled analytics and technology – to identify and capitalize on investment opportunities which others cannot see.

Citadel seeks the very best students (BS, MS and PhD level) who are entrepreneurial, self-starters and enjoys being in a fast-paced, dynamic and demanding environment to help continue building and growing one of the world’s leading global financial institutions. Citadel pursues path-breaking work and handsomely rewards excellence. Opportunities are available in a variety of teams in our Quantitative Trading Strategies Group. This group is responsible for applying the latest techniques from computer science, physics, probability & statistics and applied mathematics to develop trading strategies including Market Making, Statistical Arbitrage and Long Term Strategies on all liquid asset classes. For the right individual, this opportunity represents an exciting career path in investments research.

Duties and Responsibilities

• Develop core algorithms and models leading directly to trading decisions

• Conduct research and statistical analyses about securities and commodities

• 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 live trading environment

• Evaluate vendors of financial information; evaluate and work with new data sources and analysis packages in developing investment strategies

   

  Qualifications

• Advanced training from leading academic institutions in Computer Science (including Machine Learning, AI or related fields), Engineering, Mathematics, Statistics, Economics /Finance or related field

• Strong Statistical analysis (time series analysis, ANOVA, experiment design, etc); Knowledge of probability theory (Bayesian theory, Markov chain, stochastic processes, etc); Experience applying advanced mathematical & statistical techniques to complex data intensive problems

• Good programming skills (e.g. C/C ) with experience with one or more statistical packages (e.g. R/Matlab) and exposure to one or more scripting languages (e.g. Python);  Experience with Linux environment and network programming is a plus

• Demonstrated interest in or knowledge of investments including equities, fixed income, derivatives, asset pricing, empirical anomalies and market micro-structure; comfortable with analysis of large datasets

• Comfortable in a complex, fast-paced and highly technical environment

Since its founding over two decades ago, Citadel has grown into