Teams at Bureau (bureau.id)

Build and maintain batch and streaming data pipelines, backend services, REST APIs, Airflow workflows, Spark jobs, and SQL transformations. Own monitoring, data quality, infrastructure stability, production debugging, documentation, and testing. Contribute to identity graph development for fraud detection and collaborate on data models, schemas, and real-time decisioning systems. The role requires strong programming, SQL, database, distributed systems, cloud, and software engineering fundamentals.

Build graph-native and machine learning models to detect fraud, collusion, and identity risks across banking and e-commerce networks. Design, experiment with, and deploy statistical, AI/ML, and deep learning models for real-time risk serving. Develop production-grade ML software with observability, perform light data pipeline work, and independently identify business impact using ambiguous and unlabeled data.

Leads enterprise NBFC customer acquisition for Bureau’s risk and compliance platform. Responsibilities include prospecting, consultative selling, full-cycle deal management, negotiations, onboarding coordination, stakeholder relationships, competitive analysis, forecasting, pipeline reporting, and achieving aggressive new-business targets. The role partners cross-functionally with product, operations, and customer success teams to support integration and long-term client retention.