WorldQuant

Quantitative Python Developer

WorldQuant
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6 months ago
Montevideo, UruguaySenior

Responsibilities

  • Build complex data pipelines and frameworks for strategy and performance analytics.
  • Research, design, code, test, and deploy firmwide platforms and tooling.
  • Collaborate closely with technologists and quantitative researchers.
  • Apply strong software design and implementation principles while acquiring in-depth financial domain knowledge.maq

Requirements

  • 5+ years of hands-on developer experience.
  • Strong fundamentals in data structures, algorithms, and mathematics.
  • Knowledge of Python and Linux/Unix platforms.
  • Familiarity with scripting languages and data-processing technologies such as NumPy, pandas, Airflow, and Kubernetes.
  • Exceptional verbal and written communication skills.
  • Ability to work thoughtfully and collaboratively in a team-oriented culture.
  • Finance experience is a plus but is not required.

Benefits

  • Premium private health insurance.
  • Training courses, guest speakers, and share-and-learn events.
  • Regular team-building activities, annual conferences, and occasional global summits.
  • Opportunities to travel and connect with local and global teams.
  • Dynamic work in a leading international company.

Tech Stack

Apache AirflowKubernetesLinuxNumPyPandasPython

Categories

Data Engineering
WorldQuant

About WorldQuant

1,001-5,000 employees

WorldQuant is a privately held quantitative asset management firm founded in 2007 and headquartered in Old Greenwich, Connecticut. It builds proprietary research platforms and trading infrastructure to generate predictive signals and deploy systematic investment strategies across global markets and asset classes for institutional investors. The firm manages over $7 billion in assets under management and operates a network of offices worldwide.

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