Senior Java Algo Engineer – Low-Latency Trading

Millennium; New York (NY); On-site; USD 175,000 - 250,000; Full time

Job summary

Millennium, a global investment firm in New York, is seeking an experienced Algo Developer to build real-time trading systems and enhance a Java-based proprietary framework. You will focus on low-latency execution and scalable architectures in a collaborative, cross-team environment.

The role requires deep knowledge of market microstructure, automated testing, and strong software engineering in distributed systems, with opportunities to work with quants and traders on innovative features.

Qualifications

• Experience with equities execution systems and buy-side environments.
• Strong background in execution algorithms (VWAP, TWAP, inline, pairs).
• Deep understanding of market microstructure and pre-trade risk checks.

Responsibilities

• Build real-time algorithmic trading systems focused on execution optimization.
• Develop, support and enhance a Java-based proprietary trading framework, a sequencer-based platform designed to be scalable, replayable and reproducible.
• Tune and optimize system performance to support low-latency, high-throughput trading workflows.
• Own automated testing for algorithms, including simulation, backtesting, regression suites and replay frameworks.
• Partner with the production support team to ensure systems are effectively monitored and supported.
• Partner with quants, execution traders and global technology teams, facing off with the business to help define and deliver new features.

Skills

Equities execution

Execution algorithms

Low-latency systems

Java proficiency

Market microstructure

KDB/Q

AI code-generation tools

Education

Bachelor's degree in Computer Science

Tools

Kafka

Solace

KDB/Q

Job description

Millennium, a global investment firm in New York, is seeking an experienced Algo Developer to build real-time trading systems and enhance a Java-based proprietary framework. You will focus on low-latency execution and scalable architectures in a collaborative, cross-team environment.

The role requires deep knowledge of market microstructure, automated testing, and strong software engineering in distributed systems, with opportunities to work with quants and traders on innovative features.