Quantitative Developer Intern (Python)

DRW is recruiting for Quantitative Developer Intern (Python) in Singapore. This listing was last seen on the firm's own job board on August 22, 2026.

A broad principal trading firm covering rates, energy, crypto, and real estate, so desk fit matters as much as the screen.

What sets DRW apart: Widest asset coverage of any firm on this list, including physical commodities. Desk assignment happens late, so you interview for the firm rather than a team. Serious crypto and digital assets business through Cumberland.

Related preparation: Quantitative Developer (QD) Career Roadmap, Quant Infrastructure Engineer Roadmap, Quantitative Data Engineer Career Roadmap and Algorithmic Trading Developer Career Roadmap.

The role, as DRW describes it, published on July 13, 2026 and reproduced from their job board:

DRW is a technology-driven, diversified principal trading firm. We trade our own capital at our own risk, across a broad range of asset classes, instruments and strategies, in financial markets around the world. As the markets have evolved over the past 25 years, so has DRW – maximizing opportunities to include real estate, cryptoassets and venture capital. With over 1,000 employees at our Chicago headquarters and offices around the world, we work together to solve complex problems, challenge consensus and deliver meaningful results. It’s a place of high expectations, deep curiosity and thoughtful collaboration.

As a Quantitative Developer Intern, you will implement software solutions that use advanced statistical methods and have a direct impact on automated trading strategies across multiple asset classes. You will work closely with our Quantitative Researchers on idea generation and development and will be able to solve challenging technological problems. You will have access to cutting-edge technology, hardware and grid computing and will be given immediate responsibility.

How you will make an impact...

Design, develop, test and deploy proprietary software solutions for complex algorithmic trading systems

Optimize large scale data processing and modelling

Collaborate with researchers to translate research-based trading strategies into production software

Build software to manage risk and execution of our trading system

Automate human-decision based trading strategies and implement algorithmic trades from trading ideas

Manage day-to-day technology requirements of our proprietary trading systems and evaluate new technologies to improve on the current stack

You will be at home if you have...

Are pursuing a bachelor’s, master’s, or PhD in computer science, electrical engineering, computer engineering, physics, mathematics or any related science discipline and have an expected graduation date between December 2027 and June 2028