GMO’s Investment Data Solutions (IDS) Team consists of over 35 technology and data engineering professionals who partner closely with GMO’s investment managers and research teams to provide structured and unstructured market data, data engineering and analysis, quantitative application development, operations, and support in all areas of the research and investment process. Utilizing cloud-based tools and architectures, our work spans fundamental and alternative data pipeline creation, data engineering, portfolio construction, optimization, investment analytics and more.

The team prides itself on an open culture of sharing, learning, and applying new technology approaches as well as problem solving, open debate and comradery. We are a focused team of data and technology professionals who work in an agile framework to deliver timely and on-demand solutions and frameworks.

We are seeking a Quantitative Developer to partner with multiple systematic investing teams. You will work on a variety of projects focused on different aspects of the investment process, including data loading, research tools, and model analytics. You will help build new data processing and quantitative tools using Python and a cloud-native, state of the art scalable-computing platform. You will work closely with Researchers and Portfolio Managers and focus on all aspects of the research and production code that support the team’s investment processes from model building to portfolio construction. You will develop a thorough quantitative and economic understanding of the models, and a comprehension of what inputs drive the investment process.