Quantitative Research Intern Equity Arbitrage

Quantitative Research Intern – Equity Arbitrage

Jain Global, LLC

Jain Global is an innovative multi-strategy investment firm founded in July 2024 by Bobby Jain with over 400 employees operating from offices in New York, Houston, London, Singapore, and Hong Kong. We are looking to add to our growing teams.

Location:

New York, NY

Role Overview:

We are looking for a highly motivated Quantitative Research Intern to join our Equity Arbitrage Equity Derivatives team. This role provides an opportunity to work at the intersection of statistical modeling, financial markets, and systematic trading, with a specific focus on equity relative value and arbitrage strategies. As an intern, you will collaborate with portfolio managers and quantitative researchers to develop, test, and refine models that identify pricing inefficiencies across equities and related instruments. You will gain hands-on experience applying mathematical and statistical techniques to real-world trading problems while contributing directly to live research initiatives.

Responsibilities:

• Analyze large-scale equity and market datasets to identify arbitrage opportunities and inefficiencies.
• Develop and implement quantitative models for equity arbitrage strategies (e.g., statistical arbitrage, factor-based relative value, pairs trading).
• Conduct rigorous statistical testing, back testing, and validation of trading signals.
• Collaborate with researchers and developers to enhance model performance and execution efficiency.
• Explore new data sources and features that improve predictive power.
• Contribute to research discussions and clearly communicate findings to the team.
• Assist in improving research infrastructure, data pipelines, and model robustness.

Qualifications & Experience:

• Pursuing a degree in Mathematics, Statistics, Financial Engineering, or related field.
• Strong foundation in probability, statistics, linear algebra, and optimization.
• Experience with time series analysis, regression, and machine learning techniques.
• Proficiency in Python (or similar programming language) for data analysis and modeling.
• Ability to work with large datasets and extract meaningful insights.
• Interest in equity markets, arbitrage strategies, and systematic investing.
• Strong problem-solving ability and intellectual curiosity.
• Excellent communication skills and ability to work in a collaborative environment.

Key Skills/Competency:

• Quantitative Research
• Equity Arbitrage
• Statistical Modeling
• Financial Markets
• Systematic Trading
• Data Analysis
• Python
• Machine Learning
• Time Series Analysis
• Algorithmic Trading