Quantitative Researcher - New York

CFM

New York, NY, US
On-site
Statistical, econometric, and machine-learning techniques
Rigorous statistical analyses and backtests
Evaluate datasets for informational content
As a Quantitative Researcher, you will extract insights from a wide range of datasets – from traditional financial data to unconventional alternative data – to design and develop sophisticated systematic trading models

Job Summary

  • As a Quantitative Researcher, you will extract insights from a wide range of datasets – from traditional financial data to unconventional alternative data – to design and develop sophisticated systematic trading models.
  • Your work will focus on building new strategies and enhancing those already implemented at CFM.
  • You will join a team of 100+ researchers and collaborate closely with data engineers and software engineers to turn research ideas into robust, production-ready trading signals.

Matching Summary

As a Quantitative Researcher, you will extract insights from a wide range of datasets – from traditional financial data to unconventional alternative data – to design and develop sophisticated systematic trading models.

Skills & Requirements

Must-have

  • statistical, econometric, and machine-learning techniques
  • rigorous statistical analyses and backtests
  • evaluate datasets for informational content
  • Python programming skills
  • collaboration with engineering teams

Nice-to-have

  • creativity to devise novel ways
  • high degree of rigor
  • adaptable and rigorous
  • strong teamwork and communication skills
  • interest in finance

Key Requirements

  • PhD in economics/macroeconomics
  • Post PhD experience (academic or private sector research)
  • understanding of machine learning algorithms
  • experience with applied machine learning / econometrics
  • prior professional experience in the field is not required

Work Rights

Not specified

Tailored Resume

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