Quantitative Research Analyst - 2025 Intern (US)

Posted 3 Days Ago
Chicago, IL
Internship
Information Technology • Software • Financial Services • Big Data Analytics
Our ambition at Citadel is to be the most successful investment firm of all time.
The Role
Quantitative Research Analysts play a key role in developing next-generation models and trading approaches for investment strategies. Responsibilities include conceptualizing valuation strategies, developing mathematical models, translating algorithms into code, and using unconventional data sources for innovation. The company, Citadel, is a leading alternative investment manager focused on delivering market-leading results and fostering collaboration among its talented professionals.
Summary Generated by Built In

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.
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


Your Skills & Talents

  • 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


Opportunities available in Chicago, Miami, New York.
In accordance with New York City's Pay Transparency Law, the base salary range for this role is $4,325 to $5,300 per week. Base salary does not include other forms of compensation or benefits.
About Citadel
Citadel is one of the world's leading alternative investment managers. We manage capital on behalf of many of the world's preeminent private, public and nonprofit institutions. We seek the highest and best use of investor capital in order to deliver market leading results and contribute to broader economic growth. For over 30 years, Citadel has cultivated a culture of learning and collaboration among some of the most talented and accomplished investment professionals, researchers and engineers in the world. Our colleagues are empowered to test their ideas and develop commercial solutions that accelerate their growth and drive real impact.

Top Skills

C++
Python
R

What the Team is Saying

Tyler
The Company
HQ: Miami, FL
4,000 Employees
On-site Workplace
Year Founded: 1990

What We Do

Together, we've turn ambition into action. For more than three decades, Citadel has captured undiscovered market opportunities in markets around the world by empowering extraordinary people to pursue their best and boldest ideas. We strive to identify the highest and best uses of capital to generate superior long-term returns for the world’s preeminent public and private institutions.

Why Work With Us

Brilliant and driven people flourish at our firm. They follow their passions and share their skills to help everyone learn and grow.

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Typical time on-site: None
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