Emerging-markets intelligence platform built on ML pipelines and alternative data
ISI Markets operates five data and research products serving institutional investors' decisions on emerging economies—CEIC (macro), EPFR (fund flows), EMIS (company research), REDD (distressed debt), and iMoneyNet (cash investing). The tech stack reveals a data-first architecture: Python + PyTorch/TensorFlow + scikit-learn piped through AWS (Lambda, ECS, Fargate, SageMaker) into FastAPI microservices, with RAG in use—indicating heavy ML inference and real-time data serving. Hiring velocity is accelerating across sales (5 open roles) and engineering (4), while pain points center on sales enablement gaps and data-accuracy issues in Salesforce, suggesting the company is maturing go-to-market operations alongside platform scaling.
ISI Markets assembles intelligence on emerging markets for investment, strategic, and risk decisions. The company operates five product lines covering macroeconomic data (CEIC), institutional fund flows and allocations (EPFR), company and sector research (EMIS), distressed-debt alpha (REDD), and cash-market benchmarking (iMoneyNet). Coverage spans BRICS and developing regions where primary-source data is fragmented and reliability is critical. The platform sources from local content networks, applies ML and advanced analytics to derive insights, and serves via APIs and direct research. ISI is headquartered in London and employs 501–1,000 people across engineering, data, sales, and editorial functions.
Core: Python, NumPy, pandas, scikit-learn, PyTorch, TensorFlow, Hugging Face, SQL. Deployment: AWS (Lambda, ECS, Fargate, SageMaker), Docker. APIs: FastAPI. Orchestration: Jenkins, MLflow, Metaflow, Prefect, AWS Step Functions. Databases: MySQL, DynamoDB, Elasticsearch. Sales tools: Salesforce, HubSpot, LinkedIn Sales Navigator.
Bulgaria, Poland, Brazil, Singapore, Malaysia, Colombia, and India. Hiring velocity is accelerating.
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