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Quantitative Researcher, Systematic Equities

Millennium ManagementLondonFull-TimeQuant Researcher

Posted July 29, 2025

Quantitative Researcher, Systematic Equities

Quantitative Researcher, Systematic Equities

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.

A small, collaborative, and entrepreneurial systematic investment team is seeking a strong equities quantitative researcher to join in developing new signals and strategies. This opportunity provides a dynamic and fast-paced environment with excellent opportunities for career growth.

Job Description

Quantitative Researcher as part of a small, collaborative team, with a focus on systematic equity strategies.

Preferred Location

London or Dubai preferred

Principal Responsibilities

  • Work alongside the Senior Portfolio Manager on processing, integration and assessing various data sources to identify uncorrelated alphas:
  • Work and create data pipeline with multiple vendor data sets: assessing, cleaning, creating features
  • Understand the potential prediction power from data source and identify alpha

Preferred Technical Skills

  • Expert in Python (KDB/Q is a plus)
  • Proficient in modern data science tools stacks (Jupyter, pandas, numpy, sklearn)
  • Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, or related STEM field from top ranked University
  • Demonstrated knowledge of quantitative finance, mathematical modelling, statistical analysis, regression, and probability theory
  • Excellent communication, problem-solving, and analytical skills, with the ability to quickly understand and apply complex concepts

Preferred Experience

  • 1+ years of experience working in a systematic trading environment with a focus on equities
  • 1+ years of experience working with multiple vendor data sets and, in particular, manipulating data (assessing, cleaning, creating features, etc.)
  • Strong experience in evaluating alphas with statistical methods
  • Experience collaborating effectively with cross functional teams, multitasking and adapting in a fast-paced environment

Highly Valued Relevant Experience

  • Strong intuition about feature/data prediction power
  • Extremely rigorous, critical thinker, self-motivated, detail-oriented, and able to work independently in a fast-paced environment
  • Entrepreneurial mindset
  • Curiosity and critical thinker
  • Eagerness to learn and grow professionally
  • Highly organized, eager to improve and create tools in order to increase efficiency and to scale up the research effort

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