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Manager, Fraud Data Design & Integration
RBC
Toronto, CAN
Full-time
Onsite
Discovered 5 days ago
SQLDB2TeradataData analysisSystems integrationData requirements gathering
Free
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Role Overview
Lead fraud data design and integration work supporting analytics, machine learning, modeling, reporting, and fraud detection capabilities.
Represent the Fraud Data Sciences and AI team's interests in systems-integration projects and contribute to the fraud data strategy.
Key Skills for This Role
SQLDB2TeradataData analysisSystems integrationData requirements gathering
Full Job Posting
Opportunity
Lead fraud data design and integration work supporting analytics, machine learning, modeling, reporting, and fraud detection capabilities.
Represent the Fraud Data Sciences and AI team's interests in systems-integration projects and contribute to the fraud data strategy.
Responsibilities
- Partner with detection, data science, and quantitative analytics monitoring stakeholders to define project data requirements.
- Collaborate with Fraud Strategy, Operations, IT, and bank teams to develop solutions and translate priorities into project requirements.
- Participate in data design and planning for systems integration projects.
- Create and execute test plans for Fraud DSA use cases and contribute to project launch playbooks.
- Manage risks, issues, questions, and critical decisions related to data requirements and communicate them to senior stakeholders.
- Support post-launch transition to end users and monitor production issues.
- Apply banking data from multiple lines of business to the fraud detection ecosystem.
Must-have Requirements
- At least 2 years of experience using SQL, DB2, or Teradata to analyze, identify, and resolve issues.
- Experience in project leadership or systems integration and capturing data requirements with end-users, business analysts, and developers.
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