Top Internships

The Quantitative Research Analyst Intern will develop models, implement trading strategies, and conduct statistical analysis during an 11-week program.

Summer internship for undergraduate students graduating December 2028 through May 2029. Interns will develop financial modeling and company research skills, evaluate businesses and investment opportunities, analyze external data, and support long/short equities investing through investment-team rotations and mentorship.

Conduct quantitative research for financial markets by developing valuation strategies, mathematical models, trading signals, and monetization systems. Responsibilities include translating algorithms into code, backtesting and implementing trading models, analyzing unconventional data sources, and applying statistical techniques. The 11-week post-doctoral internship involves collaboration with senior researchers in a fast-paced investment environment.

The role involves physical gas trading, analysis, and scheduling, requiring keen knowledge of U.S. gas markets and collaboration with internal stakeholders.

Support investment teams by acquiring, cleaning, and analyzing multi-source data to test investment theses, identify inflection points, and present research. Learn fundamental investor approaches, build decision-support tools, and communicate findings clearly to Sector Data Analysts and investment teams.

The Recruiting Coordinator collaborates with recruiters to manage the hiring process, schedule interviews, and maintain candidate pipelines, requiring strong communication and organizational skills.

As a Quantitative Research Engineer, design, develop, and implement software for automated trading systems using advanced statistical techniques. Collaborate with researchers and prioritize business needs.

Develop mathematical models and trading strategies, back test trading models, conduct research and statistical analysis for monetization systems.

Participate in a structured fixed income and macro trading rotation. Develop expertise in financial markets, apply statistical techniques to trading, adapt investment approaches, and use advanced trading technology. Collaborate with traders, quantitative researchers, and technologists while identifying opportunities and managing risk. The internship also includes networking with senior team members and peers.

Quantitative Researchers at GQS leverage advanced statistical techniques and machine learning for investment strategies, portfolio optimization, and innovative research.