Quantitative Research Intern: Equity Arbitrage & Market Signals

Jain Global; New York (NY); On-site; USD 182,000 - 234,000; Full time

Job summary

Jain Global, LLC is seeking a Quantitative Research Intern for its Equity Arbitrage Equity Derivatives team in New York, NY. The role blends statistical modeling, financial markets, and systematic trading to identify pricing inefficiencies across equities and related instruments.

You will work with portfolio managers and researchers to develop and test models, analyze large datasets, and enhance research infrastructure while pursuing advanced degrees in quantitative fields.

Qualifications

• 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 for data analysis and modeling; ability to work with large datasets.

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

Skills

Time series analysis

Regression

Machine learning

Python

Education

Master's or PhD in Math/Stats/FE or related

Tools

Python

Job description

Jain Global, LLC is seeking a Quantitative Research Intern for its Equity Arbitrage Equity Derivatives team in New York, NY. The role blends statistical modeling, financial markets, and systematic trading to identify pricing inefficiencies across equities and related instruments.

You will work with portfolio managers and researchers to develop and test models, analyze large datasets, and enhance research infrastructure while pursuing advanced degrees in quantitative fields.