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Manager, Credit Performance & Gov - Rogers, Toronto

rogers jobsRogers·Toronto, ONfull time

Posted: July 13, 2026

Apply for this jobExpires: August 12, 2026

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AI Summary

This role at Rogers Bank in Toronto is for a Manager, Reporting, focusing on the Credit Operations analytics ecosystem. The successful candidate will be the go-to expert for building and maintaining critical data sets, enhancing analytical capabilities, and strengthening data reliability. Key responsibilities include advanced data analytics for strategic decision-making and risk mitigation within credit operations. A strong background in SQL, Python, Databricks, and experience in risk management are essential for this position.

About the Opportunity at Rogers Bank

Rogers Bank, a dynamic subsidiary of Canada's leading wireless, cable, and media company, is actively expanding its financial services team in Toronto. This presents a unique opportunity to join a growing organization dedicated to developing and implementing innovative financial solutions and experiences for Rogers customers. The bank is renowned for its unique cash-back benefits and financing options, all powered by cutting-edge technology. As a Manager, Reporting, you will play a pivotal role in the Credit Operations analytics ecosystem, directly contributing to the bank's success by enhancing its data infrastructure and analytical capabilities. This position requires a deeply technical and execution-focused individual with a strong commitment to data accuracy and operational excellence. You will be instrumental in strengthening data reliability and enabling scalable data flows into key systems, ensuring that Rogers Bank continues to offer superior financial products and support to its clientele.

Key Responsibilities and Technical Expertise

The Manager, Reporting will serve as the central technical expert for building, connecting, and maintaining both raw and curated data sets that underpin core business processes, reporting, and critical decision-making within Credit Operations. This role demands strong proficiency in SQL and Python, with significant hands-on experience utilizing Databricks as the primary analytics platform. You will spend considerable time working with these tools and related databases to construct and operate scalable data pipelines, fostering an interconnected data ecosystem. A key aspect of this position involves advanced analytics for strategic decision-making, refining governance, and control frameworks, alongside conducting regular risk assessments to identify and mitigate vulnerabilities. Collaboration is crucial, as you will partner closely with Technology, Credit Risk, Fraud, Collections, and other Bank teams to understand diverse data needs and bring new analytics into production. Experience with Delta Sharing in Databricks, particularly for future Bank–Telecom data integration initiatives, is considered a strong asset, highlighting the importance of robust data management and support.

Qualifications and Desired Experience

Candidates for this Manager, Reporting role should possess a post-secondary degree or diploma in Statistics, Mathematics, Business, or a related field, coupled with a strong grasp of statistical methods, including hypothesis testing, regression analysis, and data modelling techniques. The ability to interpret complex data, conduct thorough analyses, and present findings clearly to support data-driven decision-making is paramount. Beyond the technical skills in SQL, Python, and Databricks, a minimum of 1-2 years of experience in risk management is required, demonstrating an understanding of governance, control, and compliance frameworks. Experience in building and supporting the development of predictive and statistical forecast models is also highly valued. The ideal candidate will exhibit exceptional attention to detail, strong organizational skills, and a proactive, highly motivated approach, capable of thriving in a fast-paced and evolving environment. A strong focus on data accuracy, validation, and controls, along with experience designing and maintaining well-structured, documented analytics datasets, is essential for success in this critical role at Rogers.

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