Quantitative Developer

Cumberland

Cumberland

Software Engineering
Singapore
Posted on Thursday, July 6, 2023

DRW is a technology-driven, diversified principal trading firm. We trade our own capital at our

The proactive ability to take the lead on assignments and deliver practical results in a

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, 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...

  • A degree in a technical discipline such as mathematics, physics, engineering or computer science with a focus on statistics, optimization and signal processing
  • 1-3 years of relevant work experience in the financial markets or a fresh graduate with relevant project experience
  • Excellent software development skills in Python
  • Strong problem-solving and statistics skills
  • Skills in asynchronous and multi-threaded software; handling, maintaining and processing large data sets; and network programming
  • A strong understanding of object-oriented design, data structures and algorithms
  • The proactive ability to take the lead on assignments and deliver practical results in a timely manner

timely manner

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