Data Engineer | Post Trade Analytics
Core
Build, operate, and scale robust datasets and pipelines that power post-trade analytics and research for traders and quantitative researchers.
Role type
Senior Data Engineer (Post-Trade Analytics)
Builds
Foundational datasets and pipelines for trading decisions and research
Domain
Financial Markets / Post-Trade Analytics
Deliverable
production ML models | product features
Required skills
Python, C++, ETL/ELT pipeline orchestration, SQL, Linux, data validation frameworks, incident response, performance optimization
Preferred skills
Financial business logic expertise, large-scale data experience
Technologies
Pandas, NumPy
Responsibilities
Partner with traders and researchers to build data products; Build and scale datasets and pipelines; Influence trading strategies through data engineering; Ensure data trust via validation and monitoring; Optimize data processing for speed and cost; Develop foundational infrastructure tools