The Global Predictions Macro Insights and Portfolio Management platform is complex. Very complex. We use over 100k data series from diverse areas like public health, macroeconomics, financial markets, and demographics to build a real time understanding of what's happening in the economy. Your role will be to help transform that data into actionable insights by helping scale up the data pipelines, strengthen the backend, set up quality control, and support the models and applications built on top of it all. It’ll be a dynamic position that has you working across the entire software stack, on a small team that’s highly motivated and iterating quickly.


  • Build access and analytics tools that utilize data pipelines to provide actionable insights for the Quantitative Economics and application teams
  • Construct API integrations, set up data scrapers, and build automated checks across data pipelines to ensure quality control
  • Collaborate to build tools to increase automated insight generation and integration to core GP Knowledge Graph and macroeconomic models
  • Take ownership across the full stack, with a focus on back end technologies

Desired Qualifications

  • 5+ years of experience in a Software Engineering role
  • Undergraduate degree in Software Engineering or Computer Science (or equivalent experience in a professional setting)
  • Expertise with object-oriented/object function scripting languages including Python
  • Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases
  • Expertise in building a software tech stack on top of a cloud-based server architecture and employing frameworks like React and Node.js
  • Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement
  • Be educated on financial/economic models, and interested in answering some of the biggest questions in the quantitative economics space