Private credit platform using data orchestration to automate underwriting and operations
IORQ is a Brazilian private credit platform managing R$ 2.5B in assets, built on Python, FastAPI, and PostgreSQL with a modern data stack (Apache Airflow, dbt, Redshift, Spark). The hiring mix—balanced across engineering, finance, and data—mirrors their active work on credit rating models, underwriting automation, and FIDC operations, but pain points around scaling operations and reducing senior-profile dependence suggest they're hitting limits of manual processes and need to push automation deeper.
IORQ provides private credit solutions to mid-market companies in Brazil, focusing on transparency and speed through technology. The platform manages R$ 2.5B in assets under management and emphasizes consistent returns. Operations span credit origination, underwriting, risk assessment, and portfolio management. Infrastructure is AWS-native with serverless components, indicating a preference for managed services to reduce operational overhead. Their active project list—credit rating evolution, backoffice automation, FIDC metrics, due diligence—reflects a company in transition from manual processes toward systematic risk management and automated operations.
Python, FastAPI, PostgreSQL, DynamoDB, and AWS (Lambda, Glue, EMR). Analytics pipeline: Apache Airflow, dbt, Redshift, Spark. BI tools: Power BI, Metabase, Tableau.
R$ 2.5 billion in assets under management across private credit products.
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