Front-Office Data Engineer – Market Data, NYC

Mondrian Alpha

New York (NY)

On-site

USD 110,000 - 150,000

Full time

6 days ago
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Job summary

Unknown Hedge Fund is expanding its data engineering team to support front office investment and trading functions. The role requires building and maintaining data pipelines that deliver pricing and analytics to portfolio managers, traders, and quants.

You will collaborate directly with front office and technology stakeholders to design robust, scalable data solutions. The candidate should have 2-5 years of data engineering experience, strong Python and SQL skills, and a deep understanding of

Qualifications

  • Bachelor's degree in Computer Science, Engineering, Mathematics, or a related technical field or equivalent professional experience.
  • 2-5 years of professional data engineering experience building production data pipelines.
  • Deep knowledge of market data, pricing, reference data, and front office data needs.

Responsibilities

  • Design, build, and maintain data pipelines that ingest, process, and deliver market data, reference data, pricing, and analytics to front office consumers.
  • Work with portfolio managers, traders, quants, and technology teams to understand data requirements and deliver reliable solutions.
  • Ensure accuracy, timeliness, and quality of critical datasets supporting investment and trading workflows.
  • Incorporate data from market data vendors and internal systems into production-grade data assets.

Skills

Python
SQL
Data modeling
Distributed data processing
Front office workflows

Education

Bachelor's degree in Computer Science/Engineering/Math

Job description

Unknown Hedge Fund is expanding its data engineering team to support front office investment and trading functions. The role requires building and maintaining data pipelines that deliver pricing and analytics to portfolio managers, traders, and quants.

You will collaborate directly with front office and technology stakeholders to design robust, scalable data solutions. The candidate should have 2-5 years of data engineering experience, strong Python and SQL skills, and a deep understanding of

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