Quantitative Researcher Intern

Job Responsibilities

Explore and analyze a vast array of datasets, including both market data from asset trading and alternative data from other aspects of the economy using machine learning/statistical/applied math/econometric techniques
Apply statistical and machine learning techniques to test investment ideas
Collaborate with portfolio managers, quantitative researchers, and software engineers to deploy these investment ideas and make an impact on the team’s PnL
Analyze financial data and develop predictive models to support decision making within the team
Implement and develop machine learning algorithms to be leveraged in the investment process
Collaborate with the team to identify opportunities for process improvement and innovation
Build broad set of research tools for systematic portfolio managers ranging from data acquisition/normalization libraries to backtesters and portfolio optimizers

Qualifications, Skills and Requirements

Cumulative GPA of 3.5 and above required
Pursuing a master’s degree in a technical or quantitative discipline; such as Financial Engineering, Quantitative and Computational Finance, statistics, mathematics, physics, or computer science
Demonstrated proficiency in at least C++ or Python
Experience performing an in-depth research project examining real-world data

Preferred Experience

Independent thinker who can creatively approach data analysis and communicate complex observations in a simple and intuitive manner
A background in finance is not necessary. We can teach the financial aspects of the job if you display the necessary quantitative skills

Millennium pays a total compensation package which includes a base salary, discretionary performance bonus, and a comprehensive benefits package. The estimated base salary for this position is $180,000, which is specific to New York and may change in the future. When finalizing an offer, we take into consideration an individual’s experience level and the qualifications they bring to the role to formulate a competitive total compensation package.

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