Job Description

Software Engineer, Systematic Equity
Millennium is a top tier global hedge fund with a strong commitment to leveraging market innovations in technology and data to deliver high-quality returns.

About Us

We are a well established systematic equity trading group within a famous and prestigious global investment firm. Our team develops and maintains a plethora of sophisticated trading strategies which we deploy across many different time zones and markets globally. We're looking for an exceptional and bright Software Engineer to drive the design, development, and implementation of our systematic trading infrastructure and strategies.

The Role

As our Lead Software Engineer, you will play a crucial technical leadership role within our systematic equity trading team. You will collaborate closely with quantitative researchers, portfolio manager, and supporting teams to build scalable, high-performance trading systems. Your primary responsibility will be to develop, optimize, and maintain complex algorithms, data pipelines, and software infrastructure that underpin our trading strategies while ensuring robust risk management and compliance standards.

Location

London

Principal Responsibilities

Lead the development and evolution of the quantitative trading platform Architect and implement high-performance, scalable software solutions for systematic equity trading Collaborate with quantitative researchers to translate trading strategies into efficient, production-grade code Evaluate and integrate emerging technologies, libraries, and tools to drive continuous improvement Design, code, test, and deploy robust trading algorithms and data processing pipelines Develop real-time data ingestion systems and analytics frameworks for market data, risk metrics, and performance Optimize existing codebases for speed, reliability, and maintainability Ensure rigorous version control, code quality, and documentation standards Work closely with cross-functional teams (trading, research, risk, operations) to ensure integrated solutions Work with risk professionals to implement stress testing, scenario analysis, and performance monitoring tools Incorporate risk management and compliance requirements into the trading system architecture Ensure systems are robust to market anomalies and designed with appropriate safeguards

Preferred Technical Skills

1st class Bachelor's or Master's degree in a relevant discipline Strong Python programming skills Strong understanding of algorithms, data structures, and performance optimization Experience with scientific Python libraries (pandas, numpy, etc) Understanding of time series data Basic understanding of statistics and data analysis Modern version control Testing frameworks, continuous integration, and deployment Experience working with network filesystems Linux computing environment

Preferred Experience

3-5 years of experience working in software development or quantitative development within trading or finance Excellent communication skills, ability to clearly explain technical concepts (both verbal and written) Good problem-solving abilities and attention to detail Excellent sense of quality and workmanship

Highly Valued Relevant Experience

Familiarity with a systems programming language like C/C++ or Rust Familiarity with ACID data principles Familiarity with SQL and NoSQL databases and distributed computing frameworks is a plus Working knowledge of cloud computing and low-latency systems is beneficial

Target Start Date

* As soon as possible (will wait up to 3 months for strong candidate)