Credit risk, fraud, and authentication intelligence platform for Latin America
Serasa Experian is a Brazil-based datatech operating across 30 countries with 55 years of market presence. The tech stack—Python, Apache Spark, AWS, Azure, Kafka-adjacent tooling (SNS/SQS), plus PostgreSQL and DynamoDB—reflects a mature data pipeline built for risk decisioning at scale. Active adoption of Azure Data Factory, Azure Synapse, and AWS Glue signals a shift toward cloud-native analytics; engineering and data hiring (76 combined roles) align with priorities around data platform maturation and product performance optimization.
Notable leadership hires: Commercial Director, SRE Tech Lead, Tech Lead
Serasa Experian provides risk intelligence, fraud prevention, and authentication solutions tailored to credit journeys. The company operates a regional big-data ecosystem serving mid-market and enterprise clients across 30 countries, with concentrated presence in Brazil where it employs nearly 5,000 of its ~21,000 global workforce. Core challenges include fraud mitigation, SLA compliance, conversion optimization, and churn reduction—typical friction points for B2B risk-data platforms managing high-stakes decisioning workflows. The business spans credit scoring, merchant authentication, and financial-services tooling.
SQL, Python, Apache Spark, AWS (Lambda, SNS, SQS, Athena, Glue), Azure (Data Factory, Data Lake, Synapse), Salesforce, Kubernetes, PostgreSQL, Redis, Datadog, Splunk, and Go. Currently adopting RAG and GraphQL.
São Paulo, Brazil. The company operates in 30 countries globally and hires exclusively in Brazil across all active roles.
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