Overview
WorldQuant is a global quantitative investment firm focused on creating predictive financial models and uncovering market inefficiencies. The Quantitative Research Internship offers students the opportunity to contribute to systematic research, analyze financial data, and develop models that predict market movements. Interns will gain experience in applying data science techniques to finance in a collaborative, intellectually challenging environment.
What you'll get out of this internship
- Hands-on experience in quantitative research and data-driven financial modeling.
- Exposure to global financial markets and systematic investment strategies.
- Mentorship from senior researchers and guidance in developing predictive models.
- Development of technical skills in Python, Linux, data analysis, and algorithmic research.
- Opportunity to work on real-world research projects and contribute meaningfully to the firm’s investment strategies.
Key Responsibilities
- Assist in researching and analyzing data to identify potential predictive signals (alphas) for financial models.
- Develop scripts and tools for monitoring, data collection, and alpha signal testing.
- Apply mathematical, statistical, and machine learning techniques to large datasets.
- Collaborate with senior researchers to refine models and optimize predictive performance.
- Participate in ongoing learning and skill development in quantitative research and financial markets.
Requirements
- Pursuing or holding a BS, MS, or PhD in Mathematics, Physics, Computer Science, Engineering, or related quantitative fields.
- Strong programming skills, especially in Python; experience with shell scripting and Linux environments.
- Knowledge of linear algebra, statistics, or machine learning is advantageous.
- Analytical, creative, and detail-oriented with problem-solving capabilities.
- Participation in data mining or programming competitions is a plus.
- Final or penultimate-year students able to commit to a full-time internship of at least 3 months.
- Strong interest in finance and global capital markets; prior finance experience is not required.
Who is this internship ideal for
- Students with a quantitative and analytical mindset interested in applying data science to financial markets.
- Individuals who enjoy tackling unsolved problems and conducting independent, research-driven work.
- Those seeking mentorship and exposure to high-level quantitative research in a professional investment environment.
About Company
WorldQuant is a global quantitative investment firm dedicated to systematic research and data-driven financial strategies. Known for its rigorous research culture and collaborative environment, WorldQuant values intellectual curiosity, creativity, and practical problem-solving to generate predictive financial models.
Internship details
- Location: Varies (check specific postings)
- Duration: Minimum 3 months full-time
- Working arrangement: On-site or hybrid depending on role
- Benefits: Hands-on exposure to quantitative research, mentorship from senior staff, and development of technical and analytical skills in finance and data science.
