Quantitative Researcher - Post-Doctoral Intern (US)

Citadel LLC; City of Rochester (NY); On-site; USD 205,000 - 264,000; Part time

Job summary

Citadel LLC seeks quantitative researchers for an 11-week internship to develop next-generation models and trading approaches. You'll apply advanced statistical techniques to financial markets and large datasets, collaborating with senior team members in a fast-paced research environment.

The program runs June through August with flexibility; you will conceptualize strategies, backtest signals, translate models into code (Python, R, C++), and contribute to monetization systems for trading

Qualifications

• 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 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

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

Machine learning

Time-series analysis

NLP

Statistical analysis

Python

R

C++

Education

Post-doctoral degree in mathematics, statistics, physics, computer science, or another highly quantitative field

Tools

Python

R

C++

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++)
• 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

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