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Anson McCade

Quantitative Researcher

Anson McCade
France · Full-time · Associate

My client are a leading global quant hedge fund seeking a Quantitative Researcher to join their growing Paris office. This is an opportunity to work at the forefront of quantitative finance in a collaborative setup.


As a Quantitative Researcher, you’ll contribute to the development of systematic trading strategies, with a core focus on alpha generation and strategy development. You’ll work alongside a world-class team of researchers and developers in a truly collaborative structure, where ideas are shared openly and cutting-edge methods are constantly explored.


Key Responsibilities

  • Conduct quantitative research to identify and develop new alpha signals and trading strategies.
  • Apply statistical and machine learning techniques to large financial datasets.
  • Collaborate with other researchers and technologists across the firm globally.
  • Backtest, evaluate, and refine models in a robust production environment.


Ideal Candidate Profile

  • PhD in a quantitative discipline (e.g. mathematics, statistics, computer science, physics, or engineering).
  • Strong experience in Python programming; familiarity with scientific libraries (e.g. NumPy, pandas, scikit-learn).
  • Any prior experience in a quantitative role within a hedge fund, investment bank, or proprietary trading firm is preferred.
  • Machine learning experience is a strong plus.
  • A passion for financial markets and a curious, research-driven mindset.


Why Join?

  • Be part of a globally respected quant hedge fund with deep resources and a strong commitment to research.
  • Join a collaborative team where your ideas and research are valued.
  • Work on cutting-edge problems in a stimulating, intellectually rigorous environment.
  • Competitive compensation, career growth, and the opportunity to make a real impact.

Key Skills

Ranked by relevance

machine learning pandas numpy
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Posted
May 22, 2025
Type
Full-time
Level
Associate
Location
Paris

Industries

Financial Services Capital Markets

Categories

Finance

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