Quantitative Researcher

Seven ResearchNew York, NY
$200,000 - $300,000

About The Position

At Seven Research, our close-knit team unites brilliant minds passionate about pushing technological and scientific boundaries in the global markets. We provide state-of-the-art resources and cultivate intellectual freedom, enabling our people to develop groundbreaking solutions to the most complex challenges of our field. Our collaborative approach celebrates excellence from everyone, regardless of tenure. Our Quantitative Researchers are the intellectual architects of our trading strategies, responsible for developing sophisticated models that transform complex datasets into actionable insights. You will apply rigorous statistical and machine-learning methodologies to diverse financial datasets, develop innovative approaches to understand risk and returns, and design strategy frameworks leveraging fist principles from economics and other fields.

Requirements

  • Demonstrated capability in conducting cutting-edge research and analysis.
  • Strong communication skills.
  • Strong critical analysis skills.
  • Ability to exercise ownership over projects.
  • PhD, master’s, or bachelor’s degree in computer science, statistics, physics, or a related quantitative field
  • Intellectual curiosity and passion to uncover the inner workings of the global markets
  • Proven track record developing sophisticated predictive models
  • Strong programming skills, including mastery of Python for data analysis
  • Knowledge of statistical and machine learning modeling frameworks
  • Strong problem-solving skills and research acumen
  • Strong communication skills to articulate complex technical concepts
  • Experience working with large datasets and computationally intensive projects
  • Strong, collaborative mindset and commitment to team success

Nice To Haves

  • No financial knowledge is expected.

Responsibilities

  • Develop sophisticated models that transform complex datasets into actionable insights.
  • Apply rigorous statistical and machine-learning methodologies to diverse financial datasets.
  • Develop innovative approaches to understand risk and returns.
  • Design strategy frameworks leveraging first principles from economics and other fields.

Benefits

  • State-of-the-art resources
  • Intellectual freedom
  • Comprehensive package (details provided during hiring process)
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