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Jobs(26,648)/Quantitative Researcher Role(37)/DRW (43) - Quantitative Developer – Equity Options
DRW

DRW - Quantitative Developer – Equity Options

Singapore+ Equity2w ago
In OfficeMidAPACSoftwareQuantitative ResearcherQuantitative TraderPythonC++Data AnalysisPandasPolars

Requirements

• 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. • #LI-PR1

Responsibilities

• 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

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