Quant Researcher: Economics for Data-Driven Trading Signals

Capital Fund Management (CFM); Paris; Sur place; EUR 90 000 - 150 000; Plein temps

Résumé du poste

Capital Fund Management is seeking a Quantitative Researcher specializing in economics to extract insights from diverse datasets and build new strategies. You will work with 100+ researchers and collaborate with data engineers and software engineers to turn ideas into robust, production-ready trading signals.

The ideal candidate has a PhD in economics, post-PhD research experience, and strong skills in machine learning, econometrics, and Python.

Qualifications

• PhD in economics is required.
• Post PhD experience in research.
• 03
• Experience with ML and econometrics on large datasets.
• Programming in Python is essential.
• Adaptable and rigorous with strong teamwork and communication.

Responsabilités

• Push the research frontier: reproduce and expand on state-of-the-art ideas.
• Generate and test investment ideas with rigorous analyses and backtests.
• Explore and assess traditional and alternative data for signals.
• Build and deploy trading signals with production teams.

Connaissances

Python

Machine learning

Econometrics

Teamwork

Communication

Adaptable

Formation

PhD in economics

Post PhD experience

Description du poste

Capital Fund Management is seeking a Quantitative Researcher specializing in economics to extract insights from diverse datasets and build new strategies. You will work with 100+ researchers and collaborate with data engineers and software engineers to turn ideas into robust, production-ready trading signals.

The ideal candidate has a PhD in economics, post-PhD research experience, and strong skills in machine learning, econometrics, and Python.