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Experienced Quantitative Researcher

Flow Traders · On-site

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Last checked by MeritLog September 18, 2026Source: GreenhouseSource version: greenhouse-job-board-v1

MeritLog read this listing from Flow Traders's Greenhouse job board and last checked it on September 18, 2026.

Source: the employer's Greenhouse job board. Open the original listing for current details.

Job details

Work model
On-site
Salary
Not listed by source
Location
Hong Kong

Hiring context

How this role compares at Flow Traders

Flow Traders has 45 live roles in MeritLog’s catalog across 5 job families, and 6 of them are in data & analytics. 12 of those listings publish a pay range, a disclosure rate of 27%.

Flow Traders concentrates this hiring in:

Counted across the job boards MeritLog tracks, at the time this page was served. Pay comparisons use only listings that publish a complete range in the same currency and period.

Job description

Flow Traders is looking for a Senior Quantitative Researcher to join us in our Hong Kong office. This is a unique opportunity to join a leading proprietary trading firm where quantitative research, technology, and an entrepreneurial culture are at the heart of our business. In this role, you will identify and develop new trading opportunities by leveraging Flow Traders’ advanced research capabilities and quantitative trading platform What you will do • Lead the research and development of quantitative models, algorithms, and systematic trading strategies • Apply modern computational techniques, including machine learning and high-performance computing, to develop scalable and effective quantitative trading models • Collaborate with researchers, engineers, and traders to translate models into production-ready strategies • Contribute to research methodology, tooling, and best practices across the global quantitative research team What you need to succeed • A master’s degree in a STEM discipline, computer science, or a related quantitative field; a PhD is preferred • 3+ years of experience in quantitative trading • A proven track record of translating modern quantitative methods into profitable trading strategies • A nuanced understanding of financial markets • Excellent communication skills and experience managing stakeholders across trading and technology • A strategic vision for the role of machine learning and AI in the future of systematic trading • Experience with time-series modeling is a plus • Experience with modern machine learning frameworks and high-performance computing is a plus Flow Traders does not accept unsolicited resumes from any professional staffing or search firms. All resumes, and any other information identifying potential candidates, submitted to any employee at Flow Traders via-email, the Internet or directly without a valid and signed search agreement will be deemed free to contact by Flow Traders without any restrictions and no placement fee of any kind will be paid in the event the candidate is hired by Flow Traders.

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