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Jobs(26,614)/Quantitative Trader Role(50)/DRW (43) - Trader
DRW

DRW - Trader

Singapore3w ago
In OfficeAPACUtilitiesQuantitative TraderC++PythonGoal Setting

Requirements

• Bachelor’s degree in Computer Science, Engineering, Mathematics, Statistics, Computational Finance, or an equivalent STEM field • Ability to understand and reason about complex distributed trading systems • Strong analytical and quantitative mindset • Proficiency in programming languages such as Python or C++ • Meticulous attention to details, strong judgement and accuracy in work • Excellent verbal and written communication skills, with the ability to effectively interact and collaborate across research and engineering teams • Ability to adapt in a fast-paced, collaborative, and results-oriented environment, and thrive under time-sensitive and high-pressure situations • Self-starter with strong proactivity, sets ambitious goals, willingness to drive and own projects, and proactively identifies opportunities for impact • Prior trader or trading analyst experience preferred • 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

• Operate automated, latency-sensitive trading systems • Conduct quantitative research into strategy performance, back-testing hypotheses and refine strategies • Adjust system parameters dynamically based on market conditions • Manually trade to reduce risk exposure when necessary • Identify opportunities for automation and propose improvements to trading systems and operational workflows • Develop internal tools and utilities to improve monitoring, operational efficiency, and desk processes • Communicate relevant market news, events, and system behaviour to team members in a timely manner • Generate feedback on trading system performance through analysis of system logs, executions, and market data

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