Quantitative Researcher - New York

CFM

New York, US
On-site
Phd in economics or macroeconomics
Applied machine learning experience
Python programming skills
The role involves extracting insights from traditional and unconventional alternative data to design sophisticated systematic trading models

Job Summary

  • The role involves extracting insights from traditional and unconventional alternative data to design sophisticated systematic trading models.
  • Candidates will collaborate with a team of over 100 researchers and engineers to transform research ideas into production-ready trading signals.
  • The ideal candidate combines strong creativity to uncover hidden statistical patterns with rigorous testing and validation methods.

Matching Summary

The role involves extracting insights from traditional and unconventional alternative data to design sophisticated systematic trading models.

Skills & Requirements

Must-have

  • PhD in economics or macroeconomics
  • Applied machine learning experience
  • Python programming skills
  • Econometric modeling expertise
  • Statistical analysis and backtesting

Nice-to-have

  • Strong creativity for novel patterns
  • Collaborative teamwork skills
  • Adaptable to evolving environment
  • Interest in finance industry
  • Experience with large datasets

Key Requirements

  • PhD in economics/macroeconomics
  • Post PhD research experience
  • Proficiency in Python
  • Understanding of ML algorithms

Work Rights

Not specified

Tailored Resume

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