Senior Software Engineer - Algo Development

Millennium•New York, NY

16d•$175,000 - $250,000

About The Position

The Algo Development Technology team is part of Millennium's Information Technology organization. The firm's active, multi-manager business model relies on flexible, scalable technology and advanced proprietary systems, including next-generation analytical and trading capabilities. The team builds the execution algorithms and trading platform that Millennium's portfolio managers use to trade equities and futures globally, working closely with quants and execution traders in a collaborative, global engineering environment. It is a small, senior team where engineers own their work end to end and make extensive use of automation and AI-assisted tooling across development, testing and support.

Requirements

7+ years of experience with equities execution systems, ideally buy-side.
Experience developing execution algorithms, including VWAP, TWAP, inline and pairs strategies.
Experience working with matching engines, dark pools and algorithm container frameworks.
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, regulatory requirements and their impact on execution algorithm performance.
Expert-level Java experience building low-latency, GC-aware, high-throughput distributed systems, with a strong grasp of event-driven architectures and messaging platforms such as Kafka, Solace or similar technologies.
Bachelor's degree in Computer Science or a related field.

Nice To Haves

Experience building financing or post-trade systems, working with futures trading platforms, using KDB/Q, or familiarity with AI-based code-generation tools is a plus.

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.