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.