Unify fraud defense, credit underwriting, onboarding risk, and AML compliance with Oscilar's agentic risk platform.
Palo Alto, CA
Oscilar powers real-time risk decisioning across fraud, credit, and compliance with a single, unified solution. Our no-code AI Risk Decisioning™ platform leverages agentic AI and advanced signal processing to analyze complex data, detect anomalies, and automate mission-critical decisions with speed and precision. Built by the team behind risk systems at Google, Meta, Uber, Citi, and J.P. Morgan, Oscilar combines deep technical expertise with cloud-native architecture to deliver scalability, transparency, and regulatory-grade performance.
Remote · Canada
Develop, implement, evaluate, and continuously optimize machine-learning and statistical models and systems to detect and prevent fraud. Analyze large datasets, collaborate with engineering, product, and operations teams, communicate findings to stakeholders, and ensure privacy and security compliance.