Quantitative Developer – Equity Options

DRW; Singapore; On-site; SGD 80,000 - 120,000; Full time

Job summary

A global trading firm in Singapore is seeking a Quantitative Developer to design and enhance pricing and trade execution systems for their Asia Equity Options business. The ideal candidate has over 3 years of experience in quantitative software development, strong production skills in C++ and Python, and is a dedicated team player eager to solve complex problems. This role offers the opportunity to engage with cutting-edge technologies in a dynamic and collaborative environment.

Qualifications

• 3+ years of hands-on experience in quantitative software development.
• Strong production experience in Python and C++.
• Experience working on highly distributed systems.

Responsibilities

• Build and improve high-availability, production systems.
• Analyze requirements from stakeholders.
• Drive projects and lead new initiatives.

Skills

C++

Python

Data analysis workflows (pandas, polars, etc.)

Multi-threaded programming

Machine Learning concepts

Interpersonal skills

Tools

Boost

STL

Job description

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 Options, 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.

We are looking for an excellent Quantitative Developer to design, develop new and improve existing pricing and trade execution systems for our Asia Equity Options business. As a member of the desk, you will be integral in the interaction between research and trading teams. You will have the opportunity to work with cutting-edge low latency technologies and will be surrounded by senior technologists providing you with the best possible environment to succeed.

How You Will Make An Impact

• Building and improving high-availability, production systems in C++ and Python with resource and latency constraints
• Analyzing and discussing requirements from stakeholders
• Facilitating discussions on code implementation, testing, software architecture best practices
• Driving projects and leading new initiatives
• Actively engaging with others on the development team to resolve challenging design and coding issues
• Evaluating appropriate new technologies, tools, frameworks and software components for integration

What You Bring To The Team

• 3+ years of hands‑on experience in quantitative software development, preferably at a trading firm or systematic fund
• Strong production experience in Python and C++, including Boost, STL and data analysis workflows (pandas, polars, or similar)
• Strong experience working on highly distributed systems
• A background in multi‑threaded programming and a strong understanding of hardware/software interaction
• Solid understanding of ML concepts as applied to systematic strategies, from research through production
• Prior experience working on options or derivative products is a plus
• Dedicated team player and a passionate problem solver with strong interpersonal skills
• Excellent verbal and written communication skills, with the ability to effectively interact and collaborate across research and engineering teams
• Meticulous attention to details and accuracy in work
• Ability to adapt in a fast‑paced, collaborative, and results‑oriented environment, and thrive under time‑sensitive and high‑pressure situations

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