Quant Modelling Intern

Jain Global•New York, NY
•Onsite

About The Position

Jain Global is a global multi-strategy hedge fund which began trading in 2024. We operate across Macro, Fundamental Equities, Equity Arbitrage, Systematic, Credit, and Commodities, with APAC as a regional multi-strategy platform. Our Quant Modelling and Analytics team sits within the Risk organization and is responsible for the models, analytics and tooling that underpin valuation, risk management, and portfolio oversight across all strategies.

Requirements

  • Pursuing a Master’s/PhD degree in Mathematical Finance / Financial Engineering / Computational Finance, Mathematics, Computer Science, Statistics, Physics, Engineering or a related quantitative field.
  • Familiarity with derivatives pricing techniques.
  • Strong programming skills in Python.
  • Interest in applying technology and/or quantitative skills to solve complex practical risk, pricing and portfolio analysis problems.
  • Strong communication skills, aptitude to learn, desire to work in a team environment while being independent with the assigned project.

Nice To Haves

  • Knowledge of C++ is advantageous.

Responsibilities

  • Assist in developing quantitative models for pricing/risk and/or forecasting using mathematical, statistical and optimization methods.
  • Improve processes by redesigning underlying algorithms, optimizing workflows and refactoring underlying code.
  • Develop tooling and analytics that improve the day-to-day workflow of portfolio managers and risk managers.

Benefits

  • Learn from experts in the field receiving direct mentorship from experienced quant professionals.
  • Contribute to solving real world quant and risk problems.
  • Gain exposure to quant models and technology used by a modern multi-strategy platform.
  • Work in a fast-paced globally connected start-up environment with offices in key financial hubs and strong horizontal connectivity across teams.
  • Potential for full-time opportunities upon successful completion of the internship.
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