Manager – Fraud Data Design & Integration
| Company | Royal Bank of Canada |
|---|---|
| Location | Toronto, ON, Canada |
| Salary | $Not Provided – $Not Provided |
| Type | Full-Time |
| Degrees | |
| Experience Level | Mid Level |
Requirements
- 2+ years’ experience working with data, working with SQL, DB2 or Teradata
- Experience as part of a project team, interacting with end-users, BSAs, and developers to capture data requirements
- Experience performing data and gap analysis to identify gaps in requirements and solution designs
- Strong collaboration skills to establish best practices, identify optimal technical solutions and data structure
- Strong critical thinking and analytical skills with the ability to solve complex problems
- Familiarity with technology infrastructure (relational databases, how data flows, cloud infrastructure, etc.)
- Proven communication and negotiation skills, including the ability to effectively make recommendations to technical and non-technical audiences
- Excellent time management skills and demonstrated ability to prioritize workload
- Strong understanding of Agile Project Management and familiarity with Business Process & Data Modelling
Responsibilities
- Manage project risks, issues, questions, and decisions related to data requirements, ensuring proper steps are taken to mitigate, escalate, and communicate detailed updates to Senior Manager and other Fraud authorities
- Work closely with DSA’s Detection, Data Science, and Research & Analytics stakeholders to ensure Analytics, Machine Learning, and Reporting needs are met by projects’ data requirements
- Collaborate with the Strategy, Operations, IT, and other functional teams from across the bank on project brainstorming and prioritization exercises, provide business recommendations and translate priorities into project requirements
- Contribute to and review project documents, ensuring alignment between Business, Strategic, and Fraud data requirements, and contribute to successful project delivery by managing priorities, timelines, dependencies, critical paths and solution design
- Contribute to project data design and planning, create and execute project test plans for Fraud DSA use cases, and contribute to launch playbooks
- Support the project during post-launch warranty, ensuring a seamless transition to end users, identification and resolution of production issues during warranty period, tracking of issues and follow-up
- Understand bank-wide data and how it is utilized in the Fraud Detection ecosystem to combat fraudulent behaviours
Preferred Qualifications
- Experience designing use cases, test cases, and data flow diagrams
- Familiarity with DB2 and Hadoop data architecture
- Experience with Software Development Life Cycle
- Understanding of Kafka, ElasticSearch, and big data models
- Understanding of fraud analytics (fraud detection, ML models, Tableau reporting)