Why this role is important
This individual will play an instrumental role in the development, monitoring, and enhancement of credit risk forecasting models and reporting frameworks. This role will support the Director in the development and enhancement of all reporting and forecasting across the entire credit lifecycle of the card consumer (Acquisitions, Portfolio Management, Collections, Fraud, Write-off).
The individual will bring a curiosity and passion for driving process improvements and data-backed insights and will be providing valuable insights to support strategic decision-making.
What you’ll do:
- Develop, validate, and enhance credit risk forecasting models to predict credit card delinquencies and losses and other key credit risk metrics
- Drive credit and fraud loss forecasting by incorporating emerging economic trends and changes in strategic directions
- Explore and validate data from internal and external sources to drive portfolio insights and support credit risk reporting requirements
- Prepare comprehensive credit risk reports and presentations and monitor performance of forecasting models, effectively communicating key findings and recommendations
- Collaborate closely with cross-functional partners in all functional areas of credit risk to understand performance pertaining to complete product lifecycle: Account Acquisition, Portfolio Management, Collections, and Fraud
- Provide independent assessment of material credit risk strategy changes
What you bring:
- Effective communication and analytical skills to articulate complex insights and problems both verbally and written
- Eagerness to learn, strong work ethic, and detail-oriented mindset
- Post-Secondary Degree or equivalent experience in a quantitative field (Statistics, Mathematics, Computer Science, Economics, Business Administration)
- Proficiency in programming languages such as Python, SAS, R, and/or SQL
- 1-2 years of experience in a data analysis role