About Us
The Futu Market Data R&D team is responsible for turning real-time market data from multiple global markets and asset classes into products and tools used daily by tens of millions of investors.
From the processing and display of core market data such as quotes and candlestick (K-line) charts, to the development of technical and fundamental analysis features, and further to derivatives market data — the team's business covers the full spectrum of scenarios in which investors view quotes, conduct analysis, and place trades. It is the link in the market data chain that is closest to both users and the market.
You will directly participate in the development of core market data systems, working in an AI-Native way. We are looking for talents who are passionate about technology and curious about the market, to join us in converting every heartbeat of global markets into visible value for every investor in real time.
Responsibilities
- Participate in the development and maintenance of cross-platform desktop market data modules, delivering high-availability, high-performance financial-grade applications to users worldwide.
- Participate in building desktop architecture optimization, performance optimization, efficiency systems, and quality systems.
- Collaborate closely with product, QA, and backend teams to develop a deep understanding of financial scenarios and continuously enhance the market data experience.
Requirements
- Education: Computer Science / Software Engineering / Electronic Information, or related majors such as Financial Engineering / Financial Mathematics; candidates from non-computer science backgrounds must have solid programming fundamentals.
- Technical skills: Mastery of core C++ mechanisms (including object-oriented programming, memory model, modern features, STL, and common design patterns); proficiency in multithreading and network programming; familiarity with common network protocols and computer systems fundamentals.
- Financial knowledge: Awareness of or strong interest in securities and derivatives market data and trading; willingness to become an "engineer who understands finance."
- Personal qualities: Strong learning ability and problem analysis and resolution skills; a strong sense of responsibility; effective communication and collaboration; technical passion and self-motivation; hands-on experience with or strong interest in AI-assisted development tools.
- Internship experience: Internship experience in fintech-related fields is preferred.
- Language skills: Good English & Chinese listening, speaking, reading, and writing skills; ability to read English technical literature fluently and to communicate in both day-to-day and technical contexts.
*Open to candidates graduating between January 2026 and August 2027.