Quantitative Data Engineer – Leading Macro Fund – NYC
Listed on 2026-02-07
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IT/Tech
Data Engineer, Data Scientist, Data Analyst, Data Science Manager
Overview
A technology-driven investment firm is hiring a Quantitative Data Engineer to help design and operate the data systems that underpin research and trading across global markets.
This role sits at the intersection of data engineering, quantitative research, and production trading systems
. You’ll focus on building robust, high-performance data pipelines and analytical frameworks that support model development, signal research, and live trading workflows.
You will work directly with researchers, quantitative analysts, and engineers to translate complex research requirements into scalable data solutions. The position emphasizes Python-based data engineering, structured data modeling, and production reliability in a research-driven environment.
ResponsibilitiesAnalyze research and trading workflows to design data pipelines that support quantitative modeling and time-series analysis
Build, test, and optimize Python-based data systems used in research and production environments
Develop reusable data frameworks, libraries, and services that improve researcher efficiency and data quality
Partner with engineering and research teams to evolve data platforms as strategies and models change
Own production data workflows, including monitoring, troubleshooting, and incident resolution
Produce clear technical documentation covering system design, data contracts, and operational procedures
Bachelor’s degree in a technical discipline such as computer science, engineering, or a related field
Strong Python development experience, including heavy use of numerical and data libraries
Solid SQL skills and experience working with large, structured datasets
Hands-on experience with relational or No
SQL database systemsFamiliarity with workflow orchestration, containerization, or distributed systems is a plus
Strong debugging, performance optimization, and systems-level problem-solving skills
Ability to reason analytically about data quality, latency, and reliability
Comfortable communicating technical concepts across engineering and research audiences
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