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Quantitative Developer

2 months ago

London, Greater London, United Kingdom Millennium Management Full time

Millennium Management is seeking a talented Quantitative Developer to join our growing team focused on developing and optimizing infrastructure for quantitative trading models.

As a key member of this dynamic group, you will collaborate closely with researchers and portfolio managers to build cutting-edge tools and systems that drive our investment strategies.

Your Responsibilities:
  • Partner with Portfolio Managers to develop data engineering and prediction tools specifically for systematic equity trading.
  • Design, code, and maintain robust software solutions for quantitative research and trading operations.
  • Build and manage efficient data pipelines and databases to process and transform large datasets. Implement rigorous data validation processes to ensure accuracy and integrity.
  • Develop and operate systems that enable large-scale computational efforts in quantitative research, including parallel computing frameworks. Monitor system performance and proactively address potential issues.
  • Stay abreast of the latest technologies and tools in the field, including machine learning libraries, computing environments, and academic research.
  • Collaborate effectively with the Portfolio Manager and trading team in a transparent environment, contributing to all stages of the investment process.
Your Qualifications:

We are looking for individuals with a strong foundation in quantitative analysis, software development, and financial markets.

  • Expert proficiency in Python and/or KDB/Q.
  • Deep understanding of modern data science tools (Jupyter, pandas, numpy, sklearn) with hands-on experience in machine learning.
  • Familiarity with parallel computing tools such as Slurm.
  • Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, or a related STEM field from a top university.
  • Proven expertise in quantitative analysis, mathematical modeling, statistics, regression, and probability theory.
  • Strong software development skills, including version control systems, unit testing, debugging tools, and microservices architecture.
  • Excellent communication, problem-solving, and analytical skills with the ability to grasp complex concepts quickly.

Experience in algorithmic trading systems development, particularly within systematic equity markets, is highly desirable.