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Manager, Fraud Data Design & Integration
RBC
Toronto, CAN
Full-time
Onsite
Discovered 5 days ago
SQLDB2TeradataData analysisData requirements gatheringSystems integration
Free
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SQLDB2Teradata
Role Overview
RBC's Data Design and Integration team supports fraud data pipelines and enables Credit and Fraud Management data science and artificial intelligence teams.
The Manager will contribute to solution design, planning, and delivery of fraud data requirements in systems integration projects.
The role represents fraud data science and analytics interests and supports the bank's fraud data strategy.
Key Skills for This Role
SQLDB2TeradataData analysisData requirements gatheringSystems integration
Full Job Posting
Opportunity Overview
RBC's Data Design and Integration team supports fraud data pipelines and enables Credit and Fraud Management data science and artificial intelligence teams.
The Manager will contribute to solution design, planning, and delivery of fraud data requirements in systems integration projects.
The role represents fraud data science and analytics interests and supports the bank's fraud data strategy.
Responsibilities
- Work with detection, data science, and quantitative analytics monitoring stakeholders to support analytics, machine learning, modeling, and reporting needs.
- Collaborate with Fraud Strategy, Operations, IT, and teams across the bank on solutioning exercises.
- Translate priorities into project requirements and provide business recommendations and judgment.
- Participate in data design and planning for systems integration projects.
- Create and execute test plans for fraud data science and analytics use cases.
- Contribute to project launch playbooks.
- Manage risks, issues, questions, and critical decisions related to data requirements.
- Support post-launch warranty activities, transition work to end users, and monitor production issues.
- Understand banking data across multiple lines of business and its use in the fraud detection ecosystem.
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