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 and implement advanced machine learning models to detect and prevent fraudulent activities. Collaborate with cross-functional teams to design fraud detection systems and optimize model performance based on evolving trends.
Remote · Canada, United States
You will own the data layer and design the analytics architecture, including a tiered platform for system of record, low-latency serving, and batch/ML processing. You will also be responsible for database performance, schema modeling, and implementing observability to ensure system reliability.
Remote · Brazil, Canada, India, Poland, United Kingdom
Lead the development and maintenance of a high-performance Web SDK for collecting and analyzing browser and device-related data. Collaborate with cross-functional teams to ensure high-quality standards and customer requirements are met.
