Senior Manager – Data Science – Auto Finance
| Company | Royal Bank of Canada |
|---|---|
| Location | Toronto, ON, Canada |
| Salary | $Not Provided – $Not Provided |
| Type | Full-Time |
| Degrees | Bachelor’s |
| Experience Level | Senior |
Requirements
- 5+ years related work experience developing risk, pricing and/or profitability models
- Prior experience with data manipulation and analytics packages such as SAS, Teradata, Tableau, Python etc.
- Strong analytical and problem solving skills including understanding of credit risk fundamentals and financial modelling
- Strong interpersonal, communication and presentation skills, with the ability to articulate a compelling business case to senior management
- University degree in a quantitative field of study (e.g., statistics, economics, business, computer science, math) – demonstrated ability to think critically, analyze data, and build financial models
Responsibilities
- Enhance portfolio insight and management decision-making through the use of leading edge methodologies and tools to measure the current health of the portfolio and to discover opportunities, trends, and anomalies.
- Provide concise and insightful analytical support to senior management on matters relating to acquisitions and account management of automotive finance products.
- Lead credit strategy development and the monitoring of strategy outcomes. The incumbent will need to recognize credit trends, determine strategy effectiveness, and provide recommendations for further enhancements.
- Support the implementation of strategies and maintain integrity of decision criteria within loan origination systems and campaign processes.
Preferred Qualifications
- Familiar with credit risk concepts.
- Proficiency with data visualization tools such as Tableau.
- Experience with big data processing tools like Spark and Hive.