Software Engineer, Systematic Equity

Millennium Management LLC; London; On-site; GBP 70,000 - 110,000; Full time

Job summary

A leading financial services company seeks a Quantitative Developer to enhance their trading platform. This role involves developing robust, scalable solutions and collaborating with key teams to integrate trading strategies into production code. Ideal candidates have a strong background in Python, algorithms, and quantitative finance, with a focus on performance optimization. The position offers opportunities for innovation and growth within a dynamic environment.

Qualifications

• 3-5 years of experience in software or quantitative development.
• Strong communication skills to explain tech concepts clearly.
• Understanding of time series data and statistical principles.

Responsibilities

• Lead the development of a quantitative trading platform.
• Design, code, test, and deploy trading algorithms.
• Collaborate with teams to ensure integrated technical solutions.

Skills

Python programming

Algorithms

Data structures

Performance optimization

Data analysis

Attention to detail

Education

1st class Bachelor's or Master's degree

Tools

Scientific Python libraries

Version control

Linux environment

Job description

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
• Working knowledge of cloud computing and low-latency systems

Target Start Date

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