Teams at Engineers Gate

Build and scale a centralized data platform for investment teams. Responsibilities include gathering requirements from portfolio managers and researchers, evaluating structured and unstructured financial datasets, developing reliable processing workflows, improving data infrastructure, and creating reusable tools for analysis and quality checks. The role requires Python programming, familiarity with ETL and data pipelines, relational databases or SQL, and a STEM degree.

Build and scale a financial data platform for investment teams. Responsibilities include evaluating structured and unstructured datasets, developing reliable ETL workflows, improving data infrastructure, and creating reusable tools for data analysis and quality checks. The role works closely with portfolio managers and quantitative researchers and takes projects from requirements through delivery.

Conduct quantitative research for intraday US equities trading. Responsibilities include cleaning and analyzing high-frequency financial data, developing statistical and machine learning models, designing robust backtests, evaluating predictive signals, refining models, and communicating research findings. The intern will independently own a research project from data exploration through model evaluation while working closely with portfolio managers.