Fianna Mcaloon

Fianna Mcaloon is a dedicated and highly skilled Quantitative Risk Modelling Consultant at CIBC, based in Toronto, Ontario. In her current role within the Global Operations Risk Management team, she plays a pivotal part in developing and refining advanced risk models that underpin the bank’s ability to identify, measure, and mitigate financial and operational risks. Fianna collaborates closely with Risk Management, Model Governance, and Model Validation teams to ensure that all models adhere to stringent regulatory standards and internal policies, thereby supporting CIBC’s commitment to robust risk oversight and compliance. Her expertise in quantitative analysis, combined with her proficiency in Python programming and data visualization tools like Microsoft Power BI, enables her to translate complex data into actionable insights that inform strategic decision-making.

Fianna’s role involves overseeing the lifecycle of risk models—from development and validation to ongoing monitoring—ensuring they remain accurate and compliant with evolving regulatory frameworks such as Basel III and CCAR. Her experience in data analysis and governance allows her to identify potential model risks and recommend improvements, strengthening the bank’s overall risk management framework. Prior to her current position, Fianna gained valuable operational risk experience at Citi Belfast, where she worked as an Operational Risk Analyst within the Data and Regulatory Operations team. Her academic background from Queen’s University Belfast, where she earned a BSc with a 2:1, provides a solid foundation in financial principles and analytical techniques.

With a strong skill set that includes governance, risk management, financial reporting, and team leadership, Fianna continues to contribute to CIBC’s strategic risk initiatives. Her industry-specific expertise and analytical acumen position her as a vital asset in the evolving landscape of financial risk management and regulatory compliance.