Quantitative Research Intern – Equity Arbitrage

Job Description:
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 master's or Ph.D. 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
Compensation
The estimated base salary range for this position is $182,000 for Master's students and $234,000 for Ph.D. students, which is specific to New York and may change in the future.
We are an Equal Opportunity Employer
As an employer, we believe every individual brings with them unique diversity of thought and perspectives to meaningfully enrich perspectives of Jain Global teams to drive competitive performance. We believe an inclusive environment can yield exceptional contributions.