Principal Researcher in Equity Quantitative Strategies

3 weeks ago

London, Greater London, United Kingdom Millennium Management Full time

Senior Quantitative Researcher in Systematic Equities

Join Millennium Management as a Senior Quantitative Researcher specializing in Systematic Equities. Our firm is dedicated to harnessing cutting-edge technology and data analytics to achieve superior investment performance.

We are looking for an experienced quantitative researcher to collaborate closely with the Senior Portfolio Manager to generate alpha from diverse data sets for systematic equity trading strategies. This position offers a dynamic work environment with significant potential for professional advancement.

Preferred Location: London or Dubai

Key Responsibilities:

  • Develop alpha research frameworks in partnership with the Senior Portfolio Manager
  • Provide mentorship and support to junior team members

Essential Technical Skills:

  • Proficient in Python (knowledge of KDB/Q is advantageous)
  • Experienced with contemporary data science toolkits (Jupyter, pandas, numpy, sklearn)
  • Degree in Computer Science, Mathematics, Statistics, or a related STEM discipline from a prestigious university
  • Solid understanding of quantitative finance, mathematical modeling, statistical analysis, regression, and probability theory
  • Extensive experience in assessing alphas using statistical techniques

Required Experience:

  • Minimum of 4 years in a systematic trading role focused on equities
  • Proven track record in managing multiple vendor data sources and data cleansing
  • Successful history of developing uncorrelated alphas that enhance portfolio value
  • Established alpha research pipeline with high-quality output
  • Preferred candidates will have a few years of successful live trading experience

Highly Valued Attributes:

  • Strong intuition regarding feature/data predictive capabilities
  • Analytical thinker with a proactive and entrepreneurial approach
  • Self-driven, detail-oriented individual with a desire for continuous learning and professional growth
  • Organized and focused on optimizing efficiency and scaling research initiatives

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