Quantitative Developer at Millennium | GB | Rezi

Quantitative Developer at Millennium

Quantitative Developer

Millennium · GB

1 months ago

Quantitative Developer

Millennium · GB

a month ago
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About the Role

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.

Responsibilities

  • Develop, maintain, and improve our core trading engine.
  • Design and implement trade automation systems to enhance trading efficiency and effectiveness.
  • Work closely with traders, researchers, and other developers to understand requirements and deliver solutions.
  • Participate in code reviews to ensure the highest quality of code and adherence to best practices.
  • Provide ongoing support and troubleshooting for existing trading systems and models.

Requirements

  • Bachelor’s or Master’s degree in Computer Science, Mathematics, Physics, Engineering, or a related field.
  • Strong programming skills in Python and must be comfortable with common dataset libraries e.g. pandas, polars, numpy, duckdb etc.
  • Solid understanding of quantitative finance and statistical methods.
  • Familiarity with the trading process and financial markets.
  • Experience in designing and implementing high-performance, scalable systems.
  • Excellent analytical and problem-solving skills.
  • Meticulous attention to detail and a commitment to accuracy.
  • Demonstrated ability to work hard and manage multiple tasks simultaneously.
  • Ability to work effectively in a collaborative team environment.
  • Strong verbal and written communication skills.

Skills

  • Python
  • pandas
  • polars
  • numpy
  • duckdb
  • Quantitative Finance
  • Statistical Methods
  • Trading Process
  • Financial Markets
  • System Design
  • Problem-Solving
  • Attention to Detail
  • Teamwork
  • Communication

Location

  • London

Work Type

  • Full-time

Experience Level

  • Mid-Senior Level

Education Level

  • Bachelor's Degree
  • Master's Degree