Our mission is to be the most successful investment team in the world. Quantitative Researcher Analysts 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 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.
Conceptualize valuation strategies, develop, and continuously improve upon mathematical models and help translate algorithms into codeBack test and implement trading models and signals in a live trading environmentUse unconventional data sources to drive innovationConduct research and statistical analysis to build and refine monetization systems for trading signalsYour Skills & Talents
Bachelors or Masters degree in Mathematics, Statistics, Physics, Computer Science, or another highly quantitative fieldStrong knowledge of probability and statistics (e.g., machine learning, time-series analysis, pattern recognition, NLP)Prior experience working in a data driven research environmentExperience with NoSQL databases (e.g., MongoDB)Experience with distributed computing using MapReduceExperience with translating mathematical models and algorithms into code (Python, R or C++)Independent research experienceAbility to manage multiple tasks and thrive in a fast-paced team environmentExcellent analytical skills, with strong attention to detailStrong written and verbal communication skillsOpportunities available in Chicago, New York, Miami.
In accordance with New York City’s Pay Transparency Law, the expected base salary range for this role is $4,300.00 to $5,000.00 per week. Base salary does not include other forms of compensation or benefits.