{bc}
indeed

Manager, Fraud Data Design & Integration

RBC
Toronto, CAN
Full-time
Onsite
Discovered 4 days ago
Data analysisSQLDB2TeradataSystems integrationData requirements gathering
Free

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Data analysisSQLDB2
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What’s the opportunity

Support RBC’s fraud data pipeline and artificial intelligence strategy through data design and systems integration.

Enable Credit and Fraud Management Data Sciences and AI teams to integrate data feeds for analytics use cases.

Contribute to solution design, planning, and delivery of fraud data requirements.

What will you do?

  • Ensure analytics, machine learning, modeling, and reporting needs are reflected in project data requirements.
  • Collaborate with Fraud Strategy, Operations, IT, and bank teams on solutioning exercises and recommendations.
  • Participate in data design and planning for systems-integration projects.
  • Create and execute test plans for Fraud DSA use cases and contribute to launch playbooks.
  • Manage data-related project risks, issues, questions, and critical decisions.
  • Support post-launch transition to end users and monitor production issues.
  • Use banking data across multiple lines of business to support fraud detection and prevention.

Must-have qualifications

  • At least 2 years of experience using data to analyze, identify, and resolve issues with SQL, DB2, or Teradata.
  • Experience in project leadership or systems integration and capturing data requirements with end users, business analysts, and developers.
  • Strong critical thinking, analytical, communication, negotiation, and prioritization skills.
  • Familiarity with relational databases, data feeds, data structures, APIs, and data models.
  • Ability to operate autonomously in a fast-paced and ambiguous environment.

Nice-to-have qualifications

  • Experience working in systems-integration projects and designing use cases, test cases, or data flow diagrams.
  • Knowledge of HDFS, cloud infrastructure, Kafka, ElasticSearch, big data analytics, and modeling.
  • Understanding of the Software Development Life Cycle, Agile Project Management, and fraud detection and prevention.

Employment details

  • The role is listed as full time and regular.
  • Work hours are listed as 37.5 hours per week.

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