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Lead Quantitative Data Engineer

4 months ago

Boston, United States Selby Jennings Full time

About: Selby Jennings has partnered with a leading Investment Manager to support their Asset Management technology team's search for a Principal Quant Data Engineer. This team is responsible for architecting, developing, and maintaining systems that support quantitative trading.


Qualifications:

  • 7 YOE in full time positions across Software/Data Engineering or Quantitative Research/Development
  • 5 YOE in leading, mentoring, and developing teams
  • Financial data domain experience (understanding financial data sets specifically working on research based quant projects)
  • Python (Pandas, NumPy)
  • Data engineering (creating ETL processes, creating automation on and loading data sets, creating data access layers for data sets, etc.)
  • Prior experience with research platform buildouts


Responsibilities:

  • Deliver datasets through mapping and automated DQ for the Data Operations team for DQ maintenance
  • Provide data stewardship to other team members and to Data Operations as they review datasets for completeness and quality
  • Design and implement processes and tools for data onboarding and quality, helping to deliver an industry best-practice solution for managing the data lifecycle
  • Produce stand-alone tools that can be used by other teams to automate data quality and discover faults
  • Direct more junior engineers on your team, helping the team to specialize and scale


Other:

  • Ideal candidates are coming from Asset Management firms and have experience on research heavy quant projects, not people who have only worked for larger banks.
  • Hybrid work model
  • Position is available in Boston, MA or Jersey City, NJ