Quantitative Developer - Equity Volatility Execution

Millennium; Hong Kong; On-site; HKD 900,000 - 1,500,000; Full time

Job summary

Millennium in Hong Kong seeks a skilled software engineer to design and develop components of a systematic volatility execution platform for APAC markets, including Hong Kong options market-making. You will build high-performance, low-latency software for latency-sensitive trading environments and collaborate with quantitative researchers and traders to translate ideas into production systems.

Strong C++ expertise, Linux development, and experience with low-latency trading, plus knowledge of

Qualifications

• Proficient in C++ with time-sensitive technical challenges.
• Experience with Linux development and CI/CD pipelines.
• Familiarity with low-latency trading concepts and market data protocols.

Responsibilities

• Design, develop, and maintain components of a systematic volatility execution platform.
• Build high-performance, low-latency software for latency-sensitive trading environments.
• Collaborate with researchers and traders to translate ideas into production software.
• Support end-to-end development lifecycle from requirements to deployment and monitoring.
• Analyze trading and market data to improve execution quality and system robustness.

Skills

C++ programming

Low-latency

Linux development

CI/CD

Networking protocols

Education

Bachelor's or higher in quantitative/technical discipline

Tools

Kafka

Aeron

gRPC

FIX

kdb+/q

Job description

About Millennium

Millennium is a global, diversified alternative investment firm, founded in 1989. Defined by evolution, innovation and focus, Millennium's mission is to deliver results for our investors.

Our people are empowered with both independence and support: the autonomy to pursue ideas with conviction and the backing of a global network committed to collaboration, disciplined risk management and continuous learning. With opportunities to deepen expertise and accelerate development, talent at Millennium is equipped to adapt, evolve and build lasting impact over time. Discover how transformative growth accelerates impact.

Meet the Team

The Equity Volatility Execution team builds and operates a systematic platform for volatility execution across the US and APAC markets. Operating as part of a high-performing global group, we sit at the intersection of quantitative research, electronic trading, and high-performance software engineering. Working shoulder-to-shoulder with quantitative researchers, traders, and technology partners worldwide, we turn trading ideas and models into robust, scalable, low-latency production systems - spanning market making, pricing, risk controls, market-data handling, and exchange connectivity.

What You'll Do

• Design, develop, and maintain components of a systematic execution platform for volatility execution across APAC markets and options market-making in Hong Kong.
• Develop high-performance, reliable, and maintainable software for latency-sensitive trading environments.
• Build and support market making, pre-trade and real-time risk checks, order controls, market-data handling, and trading-system integration.
• Partner with quantitative researchers and traders to translate trading ideas, models, and execution requirements into production-quality software.
• Contribute across the full development lifecycle - requirements, design, implementation, testing, deployment, monitoring, and ongoing optimization.
• Analyze trading and market data to improve execution quality, system performance, and operational robustness, and investigate pricing, market-data, latency, connectivity, and production issues.
• Collaborate across global locations and apply modern tooling, including AI-assisted development, to improve productivity, code quality, and testing.

What You Bring

• Professional software-development experience in C++, with strong problem-solving skills on complex, time-sensitive technical challenges.
• A solid grasp of software-development best practices and the end-to-end development lifecycle, automated testing, CI/CD, and observability.
• Experience working closely with quantitative researchers, traders, portfolio managers, or other front-office stakeholders.
• Knowledge of low-latency trading systems, performance optimization, concurrency, profiling, and Linux development/troubleshooting.
• Understanding of communication and messaging technologies such as TCP/IP, UDP multicast, HTTP/REST, gRPC, FIX, Protocol Buffers, and ring buffers; familiarity with Kafka, Solace, or Aeron a plus.
• Experience with time-series/analytical platforms such as kdb+/q and working with large or complex datasets.
• Domain experience with equity or index options, volatility surfaces, implied vol, Greeks, skew, and delta hedging, and/or options market-making and APAC volatility execution.
• Strong communication skills, a collaborative mindset across time zones, and a Bachelor's or higher in a quantitative/technical discipline (or equivalent practical experience).