2027 Internship - Quantitative Trading

Virtu Financial·Singapore·Sales & Trading

Virtu Financial is hiring a 2027 Internship - Quantitative Trading in Singapore. Posted 2026-07-30; applications close 2026-09-28 (in 58 days).

Role details

Quantitative Trading Internship (Singapore)

Virtu is an industry-leading financial technology firm that operates both proprietary trading and client-facing businesses in the global financial marketplace. Our proprietary technology is core to everything we do.

We trade in over 35 countries, across 235 financial exchanges, and over 25% of retail order flow in the US.

Our team is a dedicated group of traders, quants, and developers, inspired by the unique and exciting challenges we solve every day. Our culture combines the creativity of a fast-paced start-up with the stability of a disciplined financial services firm. We are a flat organization that encourages innovation and collaboration.

Internship Program

Virtu's internship program offers students an opportunity to learn about the firm and the world’s financial markets. We provide a thoughtful and challenging curriculum through a company-curated global training week, real-world trading problems to solve, and engaging social events to get to know our team and culture.

  • Location: Singapore
  • Dates: 10-week program, starting June 7, 2027 – August 13, 2027 (with some flexibility if needed)
  • Training: Ongoing training throughout the summer and a training week held in Singapore
  • Projects: Real problems to solve throughout the program; interns will work from a list of projects with several senior mentors throughout the summer program
  • Perks: Daily breakfast, lunch allowance, transport allowance, onsite gym & workout classes, massage sessions, social events

Role Overview

Quantitative Traders are responsible for the design, operation, and improvement of high-performance algorithmic trading strategies deployed on electronic trading venues around the world. They work closely with quants and software engineers to enhance and further develop the firm’s trading strategies, and become experts in Virtu’s trading technology and its interaction with the market.

As a Quantitative Trading Intern, you will work alongside Virtu’s senior traders on a variety of exciting and challenging projects that introduce you to the intricacies of market making. The internship is designed to be hands-on: you will spend most of your time solving trading problems as they occur in the markets and working from a menu of projects with the team. Projects may come from different trading desks, such as Foreign Exchange, Fixed Income, Options, ETFs, Energy, and more.

Requirements

  • Rising juniors, or students expected to be ready for full-time employment between December 2027 and June 2028
  • Excellent academic background (all majors welcome)
  • Outstanding quantitative problem-solving skills and mathematical aptitude
  • Some programming experience required (Python, SQL, Java, or C++ are a plus)
  • A “physicalizer”—someone who identifies issues and creates solutions without rigid direction or fanfare
  • Highly motivated and tenacious, with the ability to take initiative and work independently and within a team
  • Team player with the ability to work toward collective goals

The Process

After applicants pass an initial resume screening, an online programming test will be emailed to you via HackerRank. After review, we will reach out to arrange next steps.

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Applying to this role

This 2027 Internship - Quantitative Trading role at Virtu Financial runs through the firm's own careers portal and expects a CV and cover letter written specifically for the posting, not a portable submission carried across firms. Jorb AI's application agent tailors a CV and cover letter from your background to this posting and tracks the role alongside the rest of your applications.

Jorb AI tracks details for 2027 Internship - Quantitative Trading at Virtu Financial. Postings refresh hourly from primary careers pages. Job details mirror the firm's posting; the apply link goes directly to the source. Last refreshed 2026-07-31.

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