Quantitative Researcher – Post-Doctoral Intern (US)

Job Description

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.
Conceptualize valuation strategies, develop and continuously improve upon mathematical models, and help translate algorithms into code
Use unconventional data sources to drive innovation
Conduct research and statistical analysis to build and refine monetization systems for trading signals
Post-doctoral degree in mathematics, statistics, physics, computer science, or another highly quantitative field
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++)
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We manage capital on behalf of many of the world’s preeminent private, public and nonprofit institutions. Our colleagues are empowered to test their ideas and develop commercial solutions that accelerate their growth and drive real impact.