Quantitative Developer, Singapore

DRW
is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk.
Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets.
We operate with respect, curiosity and open minds. The people who thrive here share our belief that it's not just what we do that matters–it's how we do it.
DRW
is a place of high expectations, integrity, innovation and a willingness to challenge consensus.
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 3 to 5 years of relevant work experience in the financial markets 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
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