Senior Quantitative Researcher Hedge Fund | Paragon Alpha

Senior Quantitative Researcher

Permanent

Research

London, Dubai

One of the world's largest hedge funds are seeking a senior quantitative researcher to partner with the Senior Portfolio Manager to create alpha from various data sources for the systematic trading of global equity strategies. 

Principal Consultant

Elaine Bunyan

ebunyan@paragonexecutive.com

Principal Responsibilities

  • Work alongside the Senior Portfolio Manager on building alpha research pipelines:
    • Understand the potential prediction power from data source and identify alphas
    • Identifying and processing dataset to create features or alphas
    • Performing various statistical analysis to ensure the robustness
  • Mentor and guide junior team members

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

  • 4+ years of experience working in a systematic trading environment with a focus on equities
  • 4+ years of hands-on experience working with multiple vendor data sets and, in particular, manipulating data (assessing, cleaning, creating features, etc.)
  • Demonstrated successful in building uncorrelated alphas and in adding orthogonal value to the portfolios
  • Established alpha research pipeline with production grade output
  • The ideal candidate would have a few years of successful live trading history
  • 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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