Quantitative Developer – Equity Options

DRW
Singapore
On-site

Who this role is best for

Best suited to candidates with strong C++ and Python skills working in high-frequency equity options trading.

Best fit for

  • Candidates with 4+ years of quantitative software development experience in trading firms or systematic funds
    — “4+ years of hands-on experience in quantitative software development, preferably at a trading firm or systematic fund”
  • Individuals with production-level expertise in C++ and Python, including Boost and STL
    — “Strong production experience in Python and C++, including Boost, STL and data analysis workflows”
  • People who have worked on highly distributed systems and multi-threaded programming
    — “Strong experience working on highly distributed systems and a background in multi-threaded programming”

Things to consider

  • The role demands attention to detail and accuracy, especially in latency-sensitive environments
    — “Meticulous attention to details and accuracy in work”
  • Candidates must be prepared to adapt in a fast-paced environment with high expectations
    — “Ability to adapt in a fast-paced, collaborative, and results-oriented environment”

How to stand out

  • Highlight experience with low-latency systems and ML deployment in systematic trading strategies
    — “Building and improving high-availability, production systems in C++ and Python with resource and latency constraints”
  • Emphasize past collaboration between research and trading teams in your work history
    — “Integral in the interaction between research and trading teams”
  • Demonstrate your ability to lead new initiatives and drive projects in your resume and interview stories
    — “Driving projects and leading new initiatives”
Pace · Fast PacedCollaboration · HighAutonomy · MediumDecision Impact · Team

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • build and improve high-availability systems
  • facilitate discussions on code implementation
Typical background
4+ years of hands-on experience in quantitative software development

Skills & requirements

Required

Quantitative Software DevelopmentC++PythonDistributed SystemsMulti-threaded Programming

Preferred

Machine LearningOptions Pricing

Stack & domain

C++PythonBoostSTLPandasPolarsMulti-threaded ProgrammingHardware/software InteractionML ConceptsOptionsDerivative ProductsCommunicationCollaborationProblem-solvingAttention To DetailTrading

About the role

Original posting from DRW via Greenhouse

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:

4+ 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

For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice.

California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice.

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Source: DRW careers (Greenhouse)

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