Women in Trading and Technology Program - 2026

IMC Trading · Mumbai, India · India

Women in Trading and Technology Program - 2026 Technology / Software Development

Women in Trading and Technology 1.0

IMC Trading India is pleased to invite applications for Women in Trading and Technology 1.0, a two-day, fully in-person immersion program held at our Mumbai office for women in engineering.

Participants will get first-hand exposure to trading, technology and quant research at IMC through interactive workshops and direct interaction with IMC's leaders and teams.

Program Dates: 1 - 2 December, 2026

Why Apply?

Learning, coaching, and mentoring

Travel, stay, and networking

Eligibility

The program is open to women students who are enrolled in a full-time course and meet the following eligibility criteria:

No CGPA cut-off. No branch restriction. This is a purely educational program, open to every eligible woman student regardless of grades or branch.

Selection Process

  1. Application & resume-sharing window: October 6th - 20th, 2026
  2. Online assessment covering coding and quant/trading domain questions
  3. Virtual screening interview

The final list of selected participants is based on a combination of all three rounds. Selected participants will be notified directly with next steps and the two-day schedule.

✈️ Two-way flights and accommodation fully covered
📍 Program location: IMC Trading India, Mumbai

Last date to apply: October 20, 2026

Questions about Women in Trading and Technology 1.0?

Write to IndiaCampusRecruitment@imc.com

About Us

IMC is a research-driven trading firm where quantitative modeling, machine learning, and engineering shape how modern markets are traded. A stabilizing force in markets since 1989, we provide liquidity across trading venues, delivering the best outcome in value and risk management to investors. Using our own technology and capital, we build proprietary systems and algorithms that operate across global markets. Our researchers, traders, and engineers work as a collective, combining rapid experimentation, advanced infrastructure, and real-time feedback to turn insight into execution and execution into advantage.

 

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