Quantitative Equity Research, Intern

We are looking for a Quantitative Research Intern to join our fast-paced and entrepreneurial Quantitative Equity team for 4-8 months starting in September 2026 or January 2027! We are a high-performance team embedded in a top-performing quant fund that manages over $75 billion in financial assets. We combine leading edge quantitative research with state-of-the-art technology to develop our unique algorithmic investment strategies. A culture of innovation, growth and success through collaboration has enabled us to deliver top tier performance for over two decades. 

What You Will Do

As an intern on the quantitative research team, you will help tackle a broad array of challenges at the Intersection of finance, data science, and technology. We seek to identify novel predictors of business outcomes and model complex inefficiencies in constantly evolving financial markets. Our focus is on developing cutting edge and uniquely powerful investment insights.

This is an exciting role for an individual who is passionate about quantitative research and wants to apply a disciplined and scientific approach to investing. You will work with key decision makers on the team and have a broad range of responsibilities, including:

• Research and development of new investment models

• Generating ideas for new investment insights

• Apply a variety of skills and techniques in finance, data science and statistics

• Collaborate with our technology, portfolio management and investment process teams to deliver exceptional investment performance

What You Bring

• Domain Expertise – You have a deep understanding of the drivers of business success, securities valuation, and markets. You can effectively apply both creativity and discipline to sourcing and evaluating novel data sets that are useful for predicting the performance of companies and securities.

• Analytical Mindset – You have experience with producing rigorous quantitative research, particularly in finance, and are adept at balancing intuition with statistical validation.

• Academic Training – Working towards an undergraduate degree in finance, mathematics, statistics, computer science or a related discipline. Exceptional achievements and recognition (e.g., research or awards) are helpful in demonstrating your abilities.

• Collaborative Approach – You thrive in a collaborative environment and value shared success. You proactively solicit and provide input and excel at communicating complex and technical concepts.

We welcome applications from candidates with different academic disciplines, including but not exclusive to Finance, Economics, Mathematics, Statistics, Computer Science, Data Science, Physics. Students in their final internship term are preferred and the monthly salary for this position is $11,000.