Analytics Manager
| Company | Royal Bank of Canada |
|---|---|
| Location | Toronto, ON, Canada |
| Salary | $Not Provided – $Not Provided |
| Type | Full-Time |
| Degrees | Bachelor’s |
| Experience Level | Senior, Expert or higher |
Requirements
- Strong proficiency in Python/R, SQL and data visualization software.
- Bachelor’s degree in Data Science, Statistics, Computer Science, Financial Engineering, or a related quantitative field.
- Excellent verbal and written communication skills, with the ability to convey technical concepts to non-technical audiences.
- Experience working with non-technical stakeholders to translate business requirements into data-driven solutions.
- Comfortable working in a fast-paced, dynamic environment with shifting priorities.
Responsibilities
- Lead the development and implementation of innovative data products that enhance audit efficiency and effectiveness.
- Conduct in-depth analysis of large and complex datasets to identify trends, anomalies, and key risk indicators before translating findings into actionable insights for audit teams.
- Ensure the quality, accuracy and integrity of data used to perform analytics during audit engagements.
- Develop and implement automated processes to improve efficiency, reduce manual effort, and enhance scalability of audit analytics solutions.
- Collaborate closely with audit teams to gather requirements and translate them into effective analytics solutions. Partner with other teams in the CAE Digital Innovation, Data & Analytics group to adhere to data governance standards, identify and onboard new datasets into the CAE analytics ecosystem.
- Stay abreast of emerging technology, methods, and best practices around analytics and audit. Research and pilot new ideas to push boundaries and enhance audit capabilities.
Preferred Qualifications
- Master’s degree or higher in Data Science, Statistics, Computer Science, Financial Engineering, or a related quantitative field.
- Experience with AI/ML techniques, particularly those relevant to anomaly detection and NLP and their application in audit processes.
- Experience in any of the following domain: GRM, AML, Finance & HR
- Experience working with Dataiku and data visualization software like Tableau, Power BI etc.
- Familiarity with Agile methodologies and tools (e.g., JIRA, Confluence).