Quantitative Researcher – PhD Intern (US)

Citadel Securities; Miami (FL); On-site; USD 205,000 - 264,000; Full time

Job summary

Citadel Securities in Miami and New York offers an 11-week quantitative research internship. You’ll collaborate with senior team members, develop your skills, and network with peers throughout the program, which runs during the summer.

The role focuses on conceptualizing valuation strategies, backtesting trading models, and translating mathematical models into code using Python, R, or C++. You’ll apply advanced statistics to financial data and explore unconventional data sources.

Qualifications

• PhD 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++).

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.

Skills

PhD required

Probability & stats

Code translation

Team collaboration

Education

PhD degree

Tools

Python

R

C++

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 dive into 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

Your Skills & Talents

• PhD 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++)
• 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 Miami and New York.

In accordance with applicable law, the base salary range for this role is $4,500 to $5,800 per week.