Risk Analyst, Scoring
500 Lake Shore Blvd W, Toronto, ON
President's Choice Financial
Earn more optimum points with the no fee PC Mastercard and PC Money Account. Score more rewards and manage your account online anytime, anywhere.Referred applicants should not apply directly to this role.
All referred applicants must first be submitted through Workday by a current Loblaw Colleague.
Location:
500 Lake Shore Boulevard West, Toronto, Ontario, M5V 2V9When you hire great people, great things can happen.
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.
Proudly serving over 3 million customers, PC Financial continues to grow by offering payment solutions and services that reward our customers every day. As a subsidiary of Loblaws Company Inc., we share the CORE values of Care, Ownership, Respect and Excellence. We are dedicated to helping Canadians Live Life Well. Join us on our journey.
Why This Role is Important:
Reporting directly to the Manager, Scoring & Analytics, this individual will play a supporting role in assisting with the development of the bank’s strategy to improve its Credit Scoring capabilities. This role will support the Manager by providing effective credit risk analysis to aid in the development and implementation of credit risk and fraud strategies, scorecards, monitoring and guidance at a tactical level. The individual will bring strong statistical knowledge with a consistent track record of working with other business partners from across the organization to drive analytically based strategies.
What You'll Do:
- Use Python/SQL to extract, manipulate and analyze raw data in order to provide valuable and timely analysis to assist in optimizing risk mitigation objectives
- Develop and manage data pulls for ad-hoc projects that drive strategy changes and/or business recommendations
- Aid the Manager and/or Director with the development of scoring models for use across the credit lifecycle
- Implement standard and ad-hoc reporting and summarized presentations as needed for regularly scheduled update forums
- Develop and complete regular queries from the data warehouse for use in reports
- Support the Manager and/or Director with the management and design of scoring strategies with an emphasis on mitigating risk exposure
- Liaise with partners (internal and external) to acquire requirements and/or support for risk sponsored initiatives
- Apply data mining skills to perform pre-program and post-program analysis for various scoring related initiatives
- Assist with the monitoring of current credit scores identifying and actioning opportunities for improvement
- Support with the operational implementation of new or adjusted credit scores
What You Bring:
- 1 - 2 years of experience in a data analysis / data mining role
- Demonstrated experience with Python, Tableau/Power BI and Microsoft Office suite of products, experience with Google Cloud Platform (GCP) is beneficial
- Previous experience within the financial services industry is required with experience in the credit card / consumer lending field preferred
- Verified understanding of the model development process
- Demonstrated understanding of credit scores, and their use in business strategies, post implementation use, and monitoring is beneficial
- Post-Secondary Degree in a quantitative field (Economics, Statistics, Mathematics, Business Administration, Computer Science, Ops Research)
- Ability to communicate analytic recommendations to both technical and non-technical team members, either verbally or via documentation
- Strong project management skills and ability to work within timelines
- Proven analytical and conceptual problem solver who can adapt to a constantly evolving environment
- Demonstrated ability in working within a team and collaborating with multiple partners to understand issues and solve problems
- Demonstrated willingness to take initiative, work independently in a dynamic environment, and effectively manage multiple projects and priorities simultaneously
Come and join a winning team who demonstrates innovation, energy, creativity and vision. We recognize the importance of a diverse workforce and we therefor encourage applications from Aboriginal Peoples, women, members of a visible minority and persons with a disability. We thank all applicants for their interest, however, only those selected for an interview will be contacted.
Number of Openings:
1PC Financial recognizes Canada's diversity as a source of national pride and strength. We have made it a priority to reflect our nation’s evolving diversity in the products we sell, the people we hire, and the culture we create in our organization. Accommodation is available upon request for applicants and colleagues with disabilities.
In addition, 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.
Please Note: If you have Employee Self Service (ESS) on Workday, apply to this job via the Workday application.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Computer Science Credit risk Data analysis Data Mining Data warehouse Economics GCP Google Cloud Mathematics ML models Power BI Python Research SQL Statistics Tableau
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