Quantitative Research Intern – Equity Arbitrage
About The Position
Jain Global, LLC is an innovative multi-strategy investment firm founded in July 2024 by Bobby Jain. The firm has over 400 employees and offices in New York, Houston, London, Singapore, and Hong Kong. The Quantitative Research Intern will join the Equity Arbitrage Equity Derivatives team in New York, working at the intersection of statistical modeling, financial markets, and systematic trading, with a focus on equity relative value and arbitrage strategies. The intern will collaborate with portfolio managers and quantitative researchers to develop, test, and refine models that identify pricing inefficiencies across equities and related instruments. The role offers hands-on experience applying mathematical and statistical techniques to real-world trading problems and contributing to live research initiatives.
Requirements
- Be pursuing a master's or Ph.D. in Mathematics, Statistics, Financial Engineering, or a related field.
- Have a strong foundation in probability, statistics, linear algebra, and optimization.
- Have experience with time series analysis, regression, and machine learning techniques.
- Be proficient in Python or a similar programming language for data analysis and modeling.
- Be able to work with large datasets and extract meaningful insights.
- Have an interest in equity markets, arbitrage strategies, and systematic investing.
- Demonstrate strong problem-solving ability and intellectual curiosity.
- Have excellent communication skills and the ability to work in a collaborative environment.
Responsibilities
- Analyze large-scale equity and market datasets to identify arbitrage opportunities and inefficiencies.
- Develop and implement quantitative models for equity arbitrage strategies, such as statistical arbitrage, factor-based relative value, and pairs trading.
- Conduct statistical testing, backtesting, and validation of trading signals.
- Collaborate with researchers and developers to enhance model performance and execution efficiency.
- Explore new data sources and features to improve predictive power.
- Contribute to research discussions and clearly communicate findings to the team.
- Assist in improving research infrastructure, data pipelines, and model robustness.
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What This Job Offers
Job Type
Full-time
Career Level
Intern
