Quant Modelling Intern at Jain Global

Job Description:

Quant Modelling Intern (Summer 2027 - New York)

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 Modeling 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/Skills/Qualifications

Education: Pursuing a Master's/PhD degree in Mathematical Finance / Financial Engineering / Computational Finance, Mathematics, Computer Science, Statistics, Physics, Engineering, or a related quantitative field.
Technical Skills: Strong programming skills in Python. Knowledge of C++ is highly advantageous.
Core Knowledge: Familiarity with derivatives pricing techniques.
Problem Solving: A passion for leveraging technology and advanced mathematics to solve complex, real-world risk, pricing, and portfolio analysis challenges.
Collaboration: Strong communication skills, aptitude to learn, desire to work in a team environment while taking independent ownership of the assigned project.

Responsibilities

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

Why Jain Global?

Elite Mentorship: Learn from experts in the field and receive direct mentorship from experienced quant professionals.
High-Impact Work: Contribute to solving complex, real-world quantitative and risk challenges.
Cutting-Edge Stack: Gain exposure to quant models and technology used by a modern multi-strategy platform.
Dynamic Culture: Work in a fast-paced globally connected startup environment with offices in key financial hubs and strong horizontal connectivity across teams.
Career Pipeline: Potential for full-time opportunities upon successful completion of the internship.

#LI-DNI

Job Description:

Quant Modelling Intern (Summer 2027 - New York)

Requirements/Skills/Qualifications

Education: Pursuing a Master's/PhD degree in Mathematical Finance / Financial Engineering / Computational Finance, Mathematics, Computer Science, Statistics, Physics, Engineering, or a related quantitative field.

Technical Skills: Strong programming skills in Python. Knowledge of C++ is highly advantageous.

Core Knowledge: Familiarity with derivatives pricing techniques.

Problem Solving: A passion for leveraging technology and advanced mathematics to solve complex, real-world risk, pricing, and portfolio analysis challenges.

Collaboration: Strong communication skills, aptitude to learn, desire to work in a team environment while taking independent ownership of the assigned project.

Responsibilities

Model Development: Assist in developing quantitative models for pricing / risk and/or forecasting using mathematical, statistical and optimization methods.

System Optimization: Improve processes by redesigning underlying algorithms, optimizing workflows, and refactoring underlying code.

Analytics & Tooling: Develop tooling and analytics that improve the day-to-day workflow of portfolio managers and risk managers.

Why Jain Global?

Elite Mentorship: Learn from experts in the field and receive direct mentorship from experienced quant professionals.

High-Impact Work: Contribute to solving complex, real-world quantitative and risk challenges.

Cutting-Edge Stack: Gain exposure to quant models and technology used by a modern multi-strategy platform.

Dynamic Culture: Work in a fast-paced globally connected startup environment with offices in key financial hubs and strong horizontal connectivity across teams.

Career Pipeline: Potential for full-time opportunities upon successful completion of the internship.

#LI-DNI