Top Tech Jobs & Startup Jobs in Vancouver

Lead definition and governance of Agentic Trust strategy across Identity & Fraud, Cybersecurity, and Disputes. Prioritize initiatives, drive execution with product and engineering, incubate new capabilities, establish governance, align senior stakeholders, and shape market narrative and commercialization.

Lead market enablement for Agentic Trust across Mastercard regions: drive adoption through training, go-to-market materials, client engagement, market insights, and cross-functional alignment to support product launches and commercialization.

Lead product strategy and execution to build, scale, and operationalize Agentic Trust solutions across identity, fraud, cyber, and disputes. Drive cross-functional delivery, incubate capabilities, ensure platform scalability, and prepare solutions for market readiness and commercialization.

Manage the software engineering team for the Fraud Management Platform, providing technical leadership and driving system architecture for fraud prevention solutions.

Design, build, and maintain scalable data pipelines and ML systems at petabyte scale using Databricks/Spark. Partner with data science to productionize models, implement testing/monitoring, ensure compliance, and optimize ETL/ELT for merchant identity and fraud-risk applications.

Support security operations through incident, vulnerability, and threat management; maintain security posture (IAM, key management, scans, hardening); automate tasks in the SIEM; respond to incidents; document risks and controls; participate in audits and on-call rotation; evaluate and improve security tools and processes.

Develop and productionize ML/AI models and scalable data science capabilities for merchant risk assessment. Work on data extraction, feature engineering, entity resolution, prototyping models, validating and monitoring performance, and building Databricks/Spark-based workflows in collaboration with Data Science, Product, and Engineering teams.

The Senior Software Engineer will enhance IBM ODM Rule solutions, focusing on fraud rule engines, large-scale migrations, and platform modernization while ensuring high availability and low latency solutions.

Lead and grow a data science team to build merchant registry and profiling capabilities. Define strategy, drive ML model development and deployment at scale, establish best practices, partner with Product and Engineering, and deliver measurable business outcomes while promoting reusable assets and Agile delivery.

Lead research and development of ML/AI solutions to detect risks in agentic commerce. Prototype and productionize models using Databricks, Spark, and cloud platforms; drive feature engineering, validation, experimentation, and collaboration with product and engineering teams.