• Highly Competitive
  • New York, NY, USA
  • Permanent, Full time
  • Hamlyn Williams
  • 2019-04-25

A fast-growing asset manager is looking to expand its functions and is looking to add a Quantitative Data Engineer to its Technology team. Their engineers are responsible to research, design, code, test and deploy projects. The Quantitative Data Engineer will work closely with quantitative research and portfolio management professionals to implement new ideas.

Requirements:

  • Master or PhD in a Quantitative or Programming discipline
  • Experience with Python (NumPy/Pandas), C/C++, SQL, Thomson Reuters, Compustat, and Bloomberg

Responsibilities:

  • Implement, enhance, and manage quantitative models
  • Design and improve proprietary data repository and financial data platforms
  • Automate and support the Extract, Transform, and Load (ETL) processes from various market data vendors
  • Develop and manage reporting and performance analytics platforms