Data intelligence platform for credit, fraud, and compliance in Brazil
Quod operates a data platform serving credit and fraud decisions across Brazil, built on Python, R, SQL, and cloud infrastructure (AWS, GCP, Azure, OCI) with heavy orchestration tooling (Airflow, dbt, Rivey). The hiring mix—skewed toward data and security roles at senior levels—reflects their focus on score quality, fraud detection automation, and compliance controls; active projects in forensic analysis and incident response suggest they're shifting from static scoring toward real-time risk intelligence.
Quod is a data-driven services company founded in 2017, headquartered in Barueri, São Paulo, with 201–500 employees. The platform combines proprietary and partner datasets to serve Brazilian financial institutions, fintechs, and collection agencies with credit scoring, fraud prevention, compliance monitoring, and debt recovery analytics. Core products include positive credit bureau data, credit risk scores, fraud detection models, and collection intelligence. The business model is B2B, selling to lenders, acquirers, and recovery firms.
R, Python, SQL, Java (Spring Framework/Boot), plus AWS, GCP, Azure, OCI. Data pipeline tools: Apache Airflow, dbt, Rivery, Kafka, Pub/Sub, SQS. Integrations: Salesforce Marketing Cloud, Salesforce CRM. Deployment: Docker, Git, Linux, Windows.
Credit risk scoring (including positive credit bureau data), fraud detection and prevention, compliance monitoring, debt collection intelligence, and portfolio management. Platform serves banks, fintechs, and collection agencies across Brazil.
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