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Paid Internship
Work Mode
Time Spent
Required Degree
Duration

8Open Positions

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Quantitative Research Analyst Intern

citadel
Found 1 month ago
Location
London, United Kingdom
Duration (Months)
3 Months
Time
Full-time
Work Mode
On-site
Salary
Not disclosed
Visa Help
Not disclosed
Last Verified
1 month ago

Education

  • Bachelor
  • Master

Skills & Qualifications

Technical Skills

  • mathematics
  • statistics
  • physics
  • computer science
  • probability
  • machine learning
  • time-series analysis
  • pattern recognition
  • NLP
  • Python
  • R
  • C++

Soft Skills

  • analytical skills
  • attention to detail
  • written and verbal communication skills
  • Ability to manage multiple tasks
  • thrive in a fast-paced team environment

Job 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. Our signature internship program takes place June through August. Occasionally, we can be flexible to other times of the year. You will be able to indicate your timing preference in the application. Your Objectives * 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

Requirements

  • 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

Related Field

  • Quantitative Finance

Related Subfield

  • Quantitative Research

Languages

  • English
▶Apply Now

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