Data Engineer

4 weeks ago


Manhattan, United States Selby Jennings Full time

Role: Data Engineer

Selby Jennings is working with a leading hedge fund that currently has over $45 billion in AUM. They are dedicated to harnessing cutting-edge technology and data innovations to achieve superior investment returns. Their dynamic and highly skilled investment team is looking for an exceptional Data Engineer. This role offers a fast-paced and collaborative environment with substantial opportunities for career advancement.

Location: New York

Principal Responsibilities

  • Develop and Maintain Data Pipelines: Build efficient andscalable end-to-end data pipelines for integrating both internal and external data sources essential for investment decisions.
    • Implement ETL (Extract, Transform, Load) processes for both structured and unstructured data.
    • Develop and optimize data workflows to ensure quality, consistency, and reliability through rigorous quality control measures.
  • Enhance Data & Technology Infrastructures: Improve and maintain existing infrastructures, including storage solutions, databases, data warehouses, and visualization platforms.
    • Establish and refine organizational structures.
    • Maintain and support all systems and processes, whether hosted in public or private clouds.
  • Over time, collaborate closely with Portfolio Managers and the broader investment team to optimize and enhance the entire investmentanalytical process, from idea generation to execution.
    • Develop and refine visualizations for analytics.
    • Identify, analyze, and manipulate large and diverse data sets for idea generation and research.
    • Research, evaluate, and back-test the predictive quality of large data sets to construct investment theses based on established and emerging KPIs.
  • Collaborate with a Global Commodities Investment Team to support our investment analytics platform, which is crucial to our investment process.

Preferred Technical Skills

  • Bachelor's or Master's degree in Computer Science, Engineering, Applied Mathematics, Statistics, or a related STEM field
  • Strong programming skills in Python and SQL
  • Solid understanding of ETL processes
  • Experience with cloud services like AWS or Azure
  • Experience working in a Linux environment
  • Demonstrated knowledge of data structures, data modeling, software/technology architecture, dashboard creation, and data scraping
  • Proven experience in building dashboards

Preferred Experience

  • Strong communication skills, a solid work ethic, and attention to detail
  • Demonstrated curiosity and eagerness to acquire new skills and address new challenges
  • 1-6 years of experience in data engineering or a quantitative role, preferably in finance firms such as investment banks or other hedge funds
  • Experience using data visualization tools such as Plotly, Dash, Excel, and Python
  • Experience with web scraping, managing data pipelines, and related infrastructures

Target Start Date

  • As soon as possible


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