Teams at Engineers Gate

Conduct quantitative research for global equities alpha strategies by developing and validating signals, implementing research papers, and transforming raw datasets into clean inputs. Build reusable research tools, write production-quality Python code, and communicate findings clearly. The internship is intended for graduate-level students and may lead to a full-time Quantitative Researcher position.

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.