Quantitative Researcher – Post-Doctoral Intern (US)

Citadel; New York (NY); On-site; USD 205,000 - 264,000; Part time

Job summary

Citadel offers an 11-week internship in New York where you will work on next-generation models and trading approaches under the guidance of senior team members. You will apply sophisticated statistical techniques to financial markets and collaborate across disciplines.

You will back test and implement trading models, use unconventional data sources, and develop monetization insights for trading signals while developing coding skills in Python, R, or C++.

Qualifications

• Post-doctoral degree or equivalent in a quantitative field.
• Strong knowledge of probability and statistics (ML, time-series, pattern recognition, NLP).
• Experience in a data-driven research environment.
• Ability to translate mathematical models into code (Python, R or C++).
• Excellent analytical and communication skills.

Responsibilities

• Conceptualize valuation strategies, develop and improve mathematical models, and 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 monetization systems for trading signals.

Skills

Statistical analysis

Machine learning

Data-driven research

Coding (Python/R/C++)

Communication skills

Education

Post-doctoral degree in a highly quantitative field

Job description

At Citadel, our mission is to be the most successful investment team in the world. Quantitative Researchers 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 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

• Post-doctoral 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

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