Citadel LLC
Quantitative Research Analyst – University Graduate (Europe)
Citadel LLC, London, Kentucky, United States, 40741
Overview
Our mission is to be the most successful investment team in the world. Quantitative Researcher Analysts 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.
Responsibilities
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 a live trading environment
Use unconventional data sources to drive innovation
Conduct research and statistical analysis to build and refine monetization systems for trading signals
Qualifications
Bachelor\'s or master\'s degree in mathematics, statistics, physics, computer science, or another highly quantitative field
Strong knowledge of probability and statistics (e.g., machine learning, time-series analysis, pattern recognition, NLP)
Prior experience working in a data driven research environment
Experience with translating mathematical models and algorithms into code (Python, R or C++)
Independent research experience
Ability to manage multiple tasks and thrive in a fast-paced team environment
Excellent analytical skills, with strong attention to detail
Strong written and verbal communication skills
Locations Opportunities available in London, Zurich, Paris and Dublin.
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Responsibilities
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 a live trading environment
Use unconventional data sources to drive innovation
Conduct research and statistical analysis to build and refine monetization systems for trading signals
Qualifications
Bachelor\'s or master\'s degree in mathematics, statistics, physics, computer science, or another highly quantitative field
Strong knowledge of probability and statistics (e.g., machine learning, time-series analysis, pattern recognition, NLP)
Prior experience working in a data driven research environment
Experience with translating mathematical models and algorithms into code (Python, R or C++)
Independent research experience
Ability to manage multiple tasks and thrive in a fast-paced team environment
Excellent analytical skills, with strong attention to detail
Strong written and verbal communication skills
Locations Opportunities available in London, Zurich, Paris and Dublin.
#J-18808-Ljbffr