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Internship

Quantitative Research Analyst – Intern (US)

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Citadel LLC

Oct 2

🚀 Off-cycle Internship

New York +1

🤑 £3.4K - £5K

AI generated summary

  • The candidate must have a bachelor's or master's degree in a highly quantitative field, strong knowledge of probability and statistics, prior experience in a data-driven research environment, proficiency in NoSQL databases and MapReduce, experience in coding mathematical models and algorithms, independent research experience, ability to manage multiple tasks in a fast-paced team, excellent analytical skills, and strong communication skills.
  • The Quantitative Research Analyst intern at Citadel LLC will be responsible for developing mathematical models, coding algorithms, back testing and implementing trading models, utilizing unconventional data sources, and conducting statistical analysis to refine trading signals.

Off-cycle Internship

Research & Development, DataNew York, Chicago

Description

  • 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.
  • As an intern, you’ll get to challenge the impossible in research through an 11 week program that will allow you to collaborate and connect with senior team members. In addition, you’ll get the opportunity to network and socialize with peers throughout the internship.

Requirements

  • Bachelors or Masters 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 NoSQL databases (e.g., MongoDB)Experience with distributed computing using Map Reduce
  • 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

Education requirements

Bachelors
Masters

Area of Responsibilities

Research & Development
Data

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

Details

Work type

Full time

Work mode

office

Location

New York, Chicago

Salary

3365 - 5000 GBP