Quantitative Research Intern - Equity Arbitrage
Jain GlobalAdded 1h ago
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Quick summaryby newgrad.ai
What you'll do
- Build and test quantitative models for equity arbitrage and relative value strategies.
- Analyze extensive market datasets to uncover pricing inefficiencies and trading signals.
- Collaborate with researchers to improve data pipelines and model performance.
What they're looking for
- Master’s or Ph.D. students in Mathematics, Statistics, or Financial Engineering.
- Strong proficiency in Python and experience with machine learning or regression.
- Deep knowledge of probability, linear algebra, and statistical time series analysis.
Pay and perks
- Base salary of $182,000 for Master’s students.
- Base salary of $234,000 for Ph.D. students.
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.
From Jain Global's public posting, laid out for reading by newgrad.ai with the wording unchanged. Check the original before you apply.
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