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Quantitative Developer

Millennium Partners — United Kingdom · Posted ~22 hours ago

Senior Full-time

Skills

Quantitative development Trading systems Trade automation Software development Code review Trading engines

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Summary ✨ AI‑Generated

A mid-to-senior quantitative development role focused on building robust trading engines and automated trading systems. You will work closely with trading and research professionals, translate requirements into production systems, and maintain high standards for code quality and reliability.

Highlights

Build and improve core trading infrastructure and automated trading systems while collaborating closely with traders, researchers, and developers in a highly performance-oriented environment.

Description

Mid-Senior Level Quant Developer Preferred Location: London Leading index Rebal team seeking a highly motivated and detail-oriented Quant Developer to join our team. The ideal candidate will have a strong passion for building robust trading systems and be familiar with the trading process. This role requires someone who is extremely hard-working and dedicated to achieving excellence in every aspect of their work. You will be working on our core trading engine and building out trade automations that drive the business. Key Responsibilities Core Trading Engine Development: Develop, maintain, and improve our core trading engine.Systematic Trade Automations: Design and implement trade automation systems to enhance trading efficiency and effectiveness.Collaboration: Work closely with traders, researchers, and other developers to understand requirements and deliver solutions.Code Review: Participate in code reviews to ensure the highest quality of code and adherence to best practices.Support: Provide ongoing support and troubleshooting for existing trading systems and models. Required Skills And Qualifications Educational Background: Bachelor’s or Master’s degree in Computer Science, Mathematics, Physics, Engineering, or a related field.Programming Proficiency: Strong programming skills in Python and must be comfortable with common dataset libraries e.g. pandas, polars, numpy, duckdb etc.Quantitative Skills: Solid understanding of quantitative finance and statistical methods.Trading Knowledge: Familiarity with the trading process and financial markets.System Design: Experience in designing and implementing high-performance, scalable systems.Problem-Solving: Excellent analytical and problem-solving skills.Attention to Detail: Meticulous attention to detail and a commitment to accuracy.Work Ethic: Demonstrated ability to work hard and manage multiple tasks simultaneously.Team Player: Ability to work effectively in a collaborative team environment.Communication Skills: Strong verbal and written communication skills.