Citadel招聘信息
单位名称:Citadel
专业要求:不限
学历要求:博士、硕士、本科
应聘方式:Please send your resume to echo.xu@citadel.com
截止时间:2017-07-31
联系方式:Echo Xu、85236675549、echo.xu@citadel.com
岗位介绍:
We are hiring Quantitative Trader/Quantitative Research (Internship)
Location: Hong Kong
OPPORTUNITY 1: Quantitative Trader
About Citadel
Citadel is a worldwide leader in finance utilizing proprietary technology and quantitatively-driven strategies to transform the global markets. We tackle some of the toughest problems in the industry and seek to excel in all strategies. The work is demanding even for the brightest minds and we wouldn’t have it any other way. Here, great ideas come from everyone.
If this is what excites you:
· Constantly learning and developing to remain ahead of global market dynamics
· Working in a team environment that combines trading, quantitative research and technology
· Using one of the world’s most powerful trading platforms
And this is what you’ve got:
§ Ability to think about the world systematically and quantitatively, as well as ability to deal with uncertainty in a rigorous and statistical way.
§ Interest in applying technology to solve complex trading problems.
§ Degree in Mathematics, Engineering, Computer Science, Physics or a related discipline
§ Experience with Python, C, C++, Java or comparable programming language
This is what Citadel can give you:
· Meaningful projects that directly impact world markets
· A culture that values dedication and rewards talent
· World-class training, tools and mentorship
· Collaboration with some of the foremost thinkers in the industry
About the Role
One of the industry’s premier technology platforms underpins our high-performance trading infrastructure. Our teams comprise the most capable and focused minds in quantitative trading. We are not satisfied with being the best – our goal is to extend our lead by continuously improving. We recruit ambitious candidates who desire to win. We enable their success with next-generation tools designed to trade and innovate. We trade in a relentlessly competitive, fast-paced environment and seek to seize opportunities from the competition.
Options Market-Making is a team led by algorithmic traders focused on the design, implementation and execution of Citadel’s automated options trading systems. This team works closely with colleagues in Quantitative Research and Information Technology. Together, they blend practical trading insight with leading-edge analytics and technology.
As a trader in our office, you will have a unique opportunity to be a part of a growing Global Market-Making business based on a proven framework. You will get direct exposure to trading from an early stage and play a key role in aiding the development of strategies via quantitative analysis. You will receive training from long-tenured traders and learn how to apply the mathematical and computational skills from your background in an ever-changing market environment.
Please send your resume to echo.xu@citadel.com
OPPORTUNITY 2: Quantitative Research & Development
About Citadel
Citadel is a worldwide leader in finance utilizing proprietary technology and quantitatively-driven strategies to transform the global markets. We tackle some of the toughest problems in the industry and seek to excel in all strategies. The work is demanding even for the brightest minds and we wouldn’t have it any other way. Here, great ideas come from everyone.
If this is what excites you:
· Constantly learning and developing to remain ahead of global market dynamics
· Working in a team environment that combines trading, quantitative research and technology
· Using one of the world’s most powerful trading platforms
If this is what excites you:
· Conduct research and statistical analysis and build & refine monetization systems for trading signals
· 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
· Innovating new features from unconventional data sources
And this is what you’ve got:
· Advanced training from leading academic institutions in Computer Science (including Machine Learning, AI or related fields), Engineering, Mathematics, Statistics or related field
· Strong Statistical analysis (time series analysis, ANOVA, etc); Knowledge of probability theory (Bayesian theory, Markov chain, 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)
· Demonstrated interest in or knowledge of investments instruments/financial markets a plus
· Comfortable in a complex, fast-paced and highly technical environment
About the Role
At Citadel, Quantitative Research (“QR”) is responsible for developing and testing automated quant trading strategies using sophisticated statistical techniques. We offer excellent exposure to a quantitative trading career path in one of the world’s leading global financial institutions.
Please send your resume to echo.xu@citadel.com
企业介绍:
Citadel is one of the top global financial institutions established 25 years ago, a worldwide leader in finance that uses next-generation technology and alpha-driven strategies to transform the global economy. We tackle some of the toughest problems in the industry by pushing ourselves to the best. Our mission is to create the fairest, most cost effective, transparent, and democratized markets in history. The firm’s culture of identifying and seizing opportunities can be traced back to CEO and firm founder, Kenneth Griffin’s passion for the markets. While a student at Harvard, Griffin developed his first convertible bond arbitrage model and traded from his dorm room. Today, we are a leading global financial institution with a diverse business platform that is built on a foundation of world-class talent, technology and infrastructure. We operate in the world’s major financial centers including Chicago, New York, London, Hong Kong, San Francisco, etc.
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