Senior Quantitative Developer

We are seeking a Senior Quantitative Developer to join our team at Equity IT in New York.

Millennium is a global, diversified alternative investment firm, founded in 1989. Our mission is to deliver results for our investors.

As a Senior Quantitative Developer, you will be responsible for designing, developing, and maintaining low-latency C++ execution algorithms, order management systems, strategy containers, connectivity, and messaging systems.

Key responsibilities include:

• Designing, developing, and maintaining low-latency C++ execution algorithms, order management systems, strategy containers, connectivity, and messaging systems.
• Partnering directly with central trading teams to optimize execution performance across businesses and regions.
• Reducing system latency using advanced network and systems programming techniques and other performance-focused methodologies.
• Building systems, interfaces, and tools for historical market data analysis and trading simulations to improve research productivity and system testability.
• Developing and maintaining automated tests, performance benchmarking frameworks, and internal engineering tools.
• Collaborating with trading teams in a fast-paced environment to gather requirements and deliver effective, timely solutions.

To be successful in this role, you will need:

• A Bachelor’s degree in Computer Science or a related field.
• 10+ years of professional software development experience, including at least 5 years in a front-office financial services environment.
• Strong expertise in data structures, algorithms, and object-oriented programming in C++.
• Proficiency with C++17 and C++20, multithreading, and asynchronous programming environments.
• Strong understanding of low-latency and real-time system design and implementation.
• Deep knowledge of Linux system internals and networking.
• Strong financial markets experience across multiple asset classes, with a focus on real-time, low-latency trading systems for equities and futures.
• Proficiency using LLM-based tools to accelerate development, improve code quality, and enhance productivity; working familiarity with Python for quantitative research, data-oriented processing, and execution algorithm performance analysis.

The estimated base salary range for this position is $175,000 to $250,000.