Quantitative Researcher (Internship)

Description

Please apply only if you are currently a junior in your bachelor's program or pursuing a master's or Ph.D. and eligible to start a full-time position the following winter or spring of 2026. If you do not qualify for this requirement and are early in your career, please apply directly to our Quantitative Researcher - Early Career role.

Join Trexquant, a pioneering quantitative investment fund established in 2014, as we shape the future of finance. Our team manages a multi-billion dollar global portfolio, delving into a diverse array of equities and liquid assets using cutting-edge machine learning techniques. Our founders and leaders, hailing from prestigious hedge funds, have cultivated an ecosystem ripe for innovation and unparalleled growth.

Responsibilities

- As a Quantitative Research Intern, you will immerse yourself in a dynamic environment where data transforms into strategic trading opportunities: - Explore and Innovate: Dive deep into vast datasets to unearth signals that power systematic quantitative strategies. - Research and Implement: Stay at the forefront of academic research, applying the latest advancements in machine learning and quantitative finance. - Design and Enhance: Craft and refine features from emerging datasets to bolster the predictive capabilities of our existing models. - Analyze and Build: Leverage sophisticated machine learning tools to discover alpha and construct robust, market-neutral portfolios.

Requirements

- Strong passion for machine learning and quantitative finance. - Strong problem-solving skills along with a creative approach towards developing market signals. - Ability to work effectively both as an individual and a team player. - Programming experience in any language, preferably Python.

Benefits

- Monthly stipend and bonuses up to USD 3000 per month to exceptional performers. - Invaluable learning and networking opportunities with global hedge fund managers. - Access to proprietary technology platforms for exploring and converting ideas into signals that can be traded in the real world. - Mentoring and guidance from experienced quantitative researchers. - Weekly company provided lunches and other events throughout the program.