Quantitative Research Intern – Equity Arbitrage

Job Description:

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.

Qualifications

• Experience with time series analysis, regression, and machine learning techniques