Quantitative Researcher (PhD, Summer 2025 Internship)

Overview:

We are looking for a Quantitative Researcher Intern to join a highly collegial P&L-driven L/S Equity team. Our team aims to continuously improve our investment process by identifying new sources of alpha, enhancing our existing alphas, improving the monetization of our alphas, and developing libraries and tools to facilitate research and analysis. We are a highly collaborative team that meets every day to discuss ongoing research efforts, share findings, and brainstorm new initiatives. We are looking for someone passionate about creating alphas, managing risks, and portfolio management, who is excited to apply advanced statistical and optimization methods in a core trading strategy. The goal of the internship will be to develop alphas utilizing alternative data sources and advanced quantitative methods to enhance our trading strategies. The successful candidate will be responsible for conducting in-depth research and analysis of equity securities, identifying investment opportunities, and supporting the portfolio management process, which requires a strong understanding of financial markets, excellent quantitative skills, and the ability to work collaboratively in a fast-paced environment.

Responsibilities:

• Evaluate alternative datasets and conduct research to develop new trading signals

• Improve existing methods and translate ideas into models, algorithms, and efficient code

• Create and back test models that shape our fundamental understanding of the markets

• Use conventional and alternative data sources to identify patterns and extract insights that power our quantitative strategies and enhance our investment process

• Undertake a variety of responsibilities (data collection and processing, infrastructure building, research idea implementation, alpha signal construction, etc.) necessary to enhance the portfolio P&L and support daily trading activities.

Qualifications:

• PhD student graduating between December 2025 or May 2026 that is pursuing a degree in a quantitative field (Mathematics/Mathematical Finance, Statistics, Computer Science/Computational Finance, Economics/Econometrics or another highly quantitative field)

• Prior independent research experience in a data-driven environment

• Ability to work with large data sets and develop statistical models

• Experience with translating investment ideas to mathematical models and algorithms into code (Python)

• Ability to clearly communicate complex and technical subject matters

• Pragmatic and have a can-do attitude in approaching real-world investment problems

• Results driven mindset, ability to work in an ambiguous environment, and work collaboratively within a team environment