Java Algo Developer - EQ Trading Technology

Millennium Management; Greater London; On-site; GBP 120,000 - 180,000; Full time

Job summary

Millennium is seeking a Java Algorithmic Developer for EQ Trading Technology in London. You will partner with technologists and trading desks to build and improve real-time execution systems, focusing on VWAP/TWAP strategies and low-latency matching

You will design scalable software for high-throughput environments, implement automated testing, and stay ahead on market structure and regulatory requirements to ensure robust deployment across global markets.

Qualifications

• 7+ years in equities execution systems.
• Experience developing execution algorithms (VWAP, TWAP, Inline, Pairs).
• Experience with matching engines and dark pools.
• Automated testing for algorithms: simulations, backtesting, regression suites, replay frameworks.
• Deep understanding of market microstructure and pre-trade risk checks.
• Expert-level Java skills for low-latency, high-throughput distributed systems.
• Knowledge of distributed, event-driven architectures and messaging Gent tools like Kafka or Solace.

Responsibilities

• Partner with technologists and teams to enhance the execution offering for PMs.
• Build and evolve real-time algorithmic trading systems and platforms.
• Develop high-quality features and enhance functionality on a mission-critical platform.
• Design and upgrade software to meet performance, scalability, and quality goals.
• Translate business requirements and market constraints into technical solutions.
• Stay current on relevant technologies, libraries, and computing environments.
• Provide L3 troubleshooting and data analysis for critical trading infrastructure.

Skills

Java

Low-latency

Distributed systems

Kafka

Event-driven

Tools

Kafka

Solace

Algo containers

Job description

Java Algo Developer - EQ Trading TechnologyAbout MillenniumMillennium 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 TeamCore to the health and growth of Millennium’s business, the Information Technology organization develops flexible, scalable technology and advanced proprietary systems that support the firm’s active, multi-manager model. Within this organization, the Equities Tech Algorithmic Development team builds and enhances execution technology that supports Portfolio Managers and trading partners across the platform, with a focus on high-performance, real-time trading systems and execution capabilities.What You'll Do• Partner closely with technologists, Execution Services, and Equity Finance teams to enhance the firm’s execution offering for Portfolio Managers• Build and evolve real-time algorithmic trading systems and execution platforms in a fast-paced environment• Develop high-quality new features and enhance functionality on a mission-critical platform• Design and upgrade software to meet performance, scalability, and quality expectations• Translate business requirements and market constraints across developed and emerging markets into effective technical solutions• Stay current on relevant technologies, tools, technical libraries, computing environments, and academic research• Support data analysis and provide L3 troubleshooting for issues affecting critical trading infrastructureWhat You Bring• 7+ years of experience with equities execution systems• Experience developing execution algorithms such as VWAP, TWAP, Inline, and Pairs• Experience working on matching engines and dark pools• Experience implementing automated testing strategies for algorithms, including simulation, backtesting, regression suites, and replay frameworks• Deep understanding of market microstructure, pre-trade risk checks, limit frameworks, and regulatory requirements, and how they affect execution algorithm performance• Expert-level Java skills, with extensive experience building low-latency, GC-aware, high-throughput distributed systems• Strong understanding of distributed, event-driven architectures and messaging technologies such as Kafka, Solace, or similar tools• Experience working with or building algo container frameworks; experience using AI tools to improve developer productivity is a plus