PC Financial offers unprecedented value to Canadians through payment products. We're a different kind of bank with a different type of team—we’re collaborative and supportive and have the freedom and responsibility to thrive. Our purpose is to make the everyday simple and better for our customers, and we strive to make every dollar worth more.
Requirements
- University degree in a quantitative field, Economics, Business Administration, Statistics, Mathematics, Computer Science or equivalent.
- 3+ years working in the retail financial industry, credit risk management, data analysis / financial modeling / data mining role.
- Fluent in Python and SQL. Familiarity with Cloud environment is a plus.
- Intermediate understanding of credit risk management concepts and knowledge of credit scoring & risk assessment.
- Self-starter with ability to work under pressure and tight timelines.
- Strong interpersonal skills to work with multiple stakeholders and garner consensus.
- Proficient in statistical analysis with knowledge of tools such as SAS.
- Knowledge of life cycle risk systems such as TRIAD and TSYS is a plus.
- High degree of proficiency in MS Office Applications including Excel, PowerBI, PowerPoint and VBA.
Benefits
- We recognize the importance of a diverse workforce and we therefore encourage applications from Aboriginal Peoples, women, members of a visible minority and persons with a disability.
- Accommodation is available upon request for applicants and colleagues with disabilities.
- We believe that compliance with laws is about doing the right thing. Upholding the law is part of our Code of Conduct – it reinforces what our customers and stakeholders expect of us.
