Engineers Gate Benefits Overview

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 a global, mid-frequency statistical arbitrage portfolio. Responsibilities include exploring alternative datasets, developing trading signals, improving portfolio construction, risk and transaction cost models, applying machine learning and data science techniques, writing production-quality code, and managing research projects from idea generation through implementation.