Quantitative Research Scientist, Finance & Data

Point72

Paris

In loco

EUR 90.000 - 140.000

Tempo pieno

12 giorni fa

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Descrizione del lavoro

Cubist Systematic Strategies, an affiliate of Point72, seeks researchers to independently conduct quantitative finance research with a focus on statistical and predictive models. You will manage all steps from methodology selection to backtesting, data collection, and performance monitoring, collaborating with portfolio managers and researchers.

You’ll thrive if you enjoy heavy data work, rigorous testing, and translating complex analyses into actionable investment ideas for a demanding

Competenze

  • MS or PhD candidates in finance, computer science, mathematics, physics, or other quantitative discipline.
  • 3-7 years of experience in alpha driven quantitative research for equities, futures, fixed income, credit, and/or FX.
  • Strong analytical and quantitative skills.
  • Demonstrated ability to conduct independent research utilizing large data sets.
  • Programming in C++, Java, C#, MATLAB, R, Python, or Perl.

Mansioni

  • Independently conduct quantitative finance research focusing on statistical and predictive models.
  • Manage all aspects of the research process: methodology selection, data collection and analysis, testing, prototyping, backtesting, and performance monitoring.
  • Collaborate with portfolio managers and researchers to translate findings into investment insights.

Conoscenze

Analytical skills
Quantitative skills
Independent research
Problem solving
Ownership

Formazione

MS or PhD candidates in quantitative discipline

Strumenti

C++
Java
C#
MATLAB
R
Python
Perl

Descrizione del lavoro

Cubist Systematic Strategies, an affiliate of Point72, seeks researchers to independently conduct quantitative finance research with a focus on statistical and predictive models. You will manage all steps from methodology selection to backtesting, data collection, and performance monitoring, collaborating with portfolio managers and researchers.

You’ll thrive if you enjoy heavy data work, rigorous testing, and translating complex analyses into actionable investment ideas for a demanding

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