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Quantitative Developer - Equities

Selby Jennings
New York, NY Full Time
POSTED ON 2/25/2025
AVAILABLE BEFORE 5/16/2025

Role Overview :

We are seeking an experienced Quantitative Developer to design and implement a robust portfolio-level risk and optimization framework. This role focuses on enhancing risk modeling, exposure analysis, and attribution infrastructure to support a systematic equities trading business. The ideal candidate will have deep expertise in quantitative development, modern engineering practices, and experience collaborating closely with quantitative researchers and portfolio managers.

Key Responsibilities :

  • Develop a proprietary risk and optimization framework leveraging Barra-based models.
  • Design and maintain infrastructure for risk monitoring, exposure measurement, and performance attribution.
  • Construct an attribution system to evaluate systematic trading signals.
  • Build scalable data pipelines for efficient extraction, transformation, and loading (ETL) of data from multiple sources, including Barra, Bloomberg, and other financial data providers.
  • Implement backtesting and analytical tools to evaluate trading strategies.

Requirements & Qualifications :

  • Experience : Minimum of 5 years in quantitative development within a hedge fund, proprietary trading firm, or investment bank.
  • Market Knowledge : Strong understanding of equities and futures markets, factor-based models, and execution algorithms.
  • Technical Expertise :
  • Advanced proficiency in Python for quantitative analysis and infrastructure development.

  • Experience with modern engineering methodologies, including data lakes, DevOps, and containerization.
  • Collaboration : Prior experience working alongside quantitative researchers and portfolio managers to provide technical solutions and support.
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