The most powerful AI fraud and AML detection platform trusted by the world's largest brands.
Mountain View, California
DataVisor is the AI-native real-time decisioning engine for fraud and financial crime prevention. As AI transforms both fraud attacks and fraud defense, DataVisor helps financial institutions, payment providers, and digital businesses detect, investigate, and stop sophisticated and previously unseen threats in milliseconds across billions of transactions. Combining adaptive machine intelligence, consortium intelligence, and emerging agentic AI capabilities, DataVisor enables organizations to modernize fraud operations, improve customer experience, and stay ahead of rapidly evolving financial crime. DataVisor is trusted by leading financial institutions, payment innovators, Fortune 500 enterprises, and digital businesses worldwide.
Hybrid · Toronto
You will lead the technical direction of the real-time fraud detection platform, overseeing streaming, storage, and training pipelines. Additionally, you will mentor engineers, drive technical execution, and integrate AI-assisted tools into engineering workflows.
Hybrid · Calgary
You will lead the technical direction of the real-time fraud detection platform, overseeing streaming, storage, and training pipelines. Additionally, you will mentor engineering staff and drive architectural decisions to ensure operational excellence and system scalability.
Hybrid · Vancouver
You will lead the technical direction of the real-time fraud detection platform, overseeing streaming, storage, and training pipelines. Additionally, you will mentor engineering staff, drive technical execution, and optimize the platform's operational health.
Hybrid · Calgary
Lead the full lifecycle of fraud detection machine learning models and develop predictive features from large-scale datasets. Conduct hands-on investigations into complex fraud cases to reconstruct attacker behavior and generate actionable trend reports.
Hybrid · Vancouver
The Senior Data Scientist will lead the full lifecycle of fraud detection models and develop predictive features from large-scale datasets. Additionally, they will conduct hands-on investigations into complex fraud cases to reconstruct attacker behavior and generate actionable trend reports.
Hybrid · Toronto
Lead the full lifecycle of fraud detection models and machine learning systems while conducting hands-on investigations into complex fraud cases. Synthesize case-level findings into actionable trend reports and technical documentation for various stakeholders.
Remote · Toronto, Ontario, Canada
Manage a portfolio of client relationships while acting as a trusted technical advisor for fraud and risk teams. Oversee data integration, platform implementation, and provide technical guidance on machine learning models and automation rules.
Remote · Vancouver, British Columbia, Canada
Design and build machine learning systems that process large-scale data sets to detect fraudulent behavior in real-time. Develop and optimize distributed systems, tools, and validation strategies to support new features and improve detection algorithms.
Remote · Canada, United States
Act as a strategic partner for enterprise clients to drive ROI through advanced fraud detection and AML compliance. Coordinate with internal product and engineering teams to optimize detection outcomes and translate customer feedback into product roadmaps.
Hybrid · Toronto
Manage the end-to-end sprint process as a Scrum Master and oversee the system release scope and coordination. Drive engineering operation metrics and lead incident response processes to ensure high-quality product delivery.
