Portfolio Manager / Senior Quantitative Researcher, Systematic Equities

Millennium Management LLC

Portfolio Manager / Senior Quantitative Researcher, Systematic Equities

Salary Not Specified

Millennium Management LLC, City of Westminster

  • Full time
  • Permanent
  • Onsite working

Posted 3 weeks ago, 22 May | Get your application in now before you miss out!

Closing date: Closing date not specified

job Ref: 5eb220e3ee404de9873da7a91b54261f

Full Job Description

Portfolio Manager/Senior Quantitative Researcher with a focus on intraday or mid-frequency equities as part of a thriving, dynamic, collaborative investment team.,

  • Conduct alpha research and strategy development with a primary focus on: idea generation, data gathering and research/analysis, model implementation and back testing for systematic global equities strategies with intraday or medium-frequency holding periods

  • Combine sound financial insights and statistical learning techniques to explore, analyze, and harness a large variety of datasets in order to build strong predictive models which will be deployed to the investment process

  • Collaborate with the SPM and other team members in a transparent environment, specifically collaborating across books and engaging with the whole investment process (portfolio construction, risk management, etc.)

    Strong research and programming skills


  • Bachelors, Masters or PhD degree in a quantitative subject such as Applied Mathematics, Statistics, Computer Science or related field from a top ranked university

  • Fluent in C++ or Python


  • Demonstrate strong abstract reasoning and independent problem-solving skills


  • Preferred Experience
  • A minimum of 5 years of experience working in a quantitative research capacity focusing on systematic equities

  • A proven, independent track record developing, deploying, and managing strategies in the global equities space with an inception-to-date Sharpe Ratio of 1.5+


  • Highly Valued Relevant Experience
  • Experience exploring, researching, and deploying trading signals from various sources of data

  • Experience in quantitative finance, econometrics, and asset pricing

  • Curious, ambitious, self-starter mindset