Quantitative Research Analyst - 2025 Intern (US)

Posted 2 Days Ago
Be an Early Applicant
New York, NY
Internship
Fintech • Information Technology • Software • Financial Services
We embrace bold ideas and seize opportunities others don’t, from the way we operate to the strategies we deploy.
The Role
As a Quantitative Research Analyst Intern, you will develop, test, and implement automated trading strategies using statistical techniques. Your tasks include conducting research, building mathematical models, and translating algorithms into code while collaborating with senior team members during an 11-week program.
Summary Generated by Built In

Job Description
At Citadel Securities, a leading global market maker, our team of quantitative researchers models the markets and brings trading strategies to life every day. Specifically, this team develops and tests automated quant trading strategies using sophisticated statistical techniques. 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 New York, Miami.
In accordance with applicable law, the base salary range for this role is $4,325 to $5,300per week.
In addition, the employee who fills this role will be eligible to participate in a discretionary incentive compensation program,
as well as a wide array of benefit programs, such as medical and life insurance, retirement and tax-free savings plans,
and access to other healthcare programs.
About Citadel Securities
Citadel Securities is the next-generation capital markets firm and a leading global market maker. We provide institutional and retail investors with the liquidity they need to trade a broad array of equity and fixed income products in any market condition. The brightest minds in finance, science and technology use powerful, advanced analytics to solve the market's most critical challenges, turning big ideas into real-world outcomes.

Top Skills

C++
Python
R
The Company
1,900 Employees
On-site Workplace
Year Founded: 2002

What We Do

Citadel Securities is the next-generation capital markets firm. Our work is powered by the deepest integration of financial, mathematical and engineering expertise. Combining deep trading acumen with cutting-edge analytics and technology, we at Citadel Securities deliver critical liquidity to the world’s most important financial institutions—while helping shape the global markets of tomorrow.

Why Work With Us

We do not accept the status quo and we are constantly looking to achieve what others think is impossible. That’s true not just in our careers, but also in our communities.

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Citadel Securities Offices

OnSite Workspace

Typical time on-site: None
US

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