Job Title

Job DescriptionThis role is contract to hire: 6 month contract to permanent placement.Insight Global is seeking a seasoned professional with a strong background in Treasury and ALM, ideally with QRM experience to join a top bank in downtown Toronto. This role offers a unique opportunity to work in a challenging area that connects ALM to the broader balance sheet, highlighting why ALM truly matters. This team is responsible for providing effective challenge, independent oversight, reporting, and monitoring of structural market risk in the Banking Book. This individual will provide market risk oversight, monitoring, and reporting for a designated portfolio. You will develop and monitor the market risk management framework that includes the governance framework and practices leveraged across BMO to manage market risk. You will provide policies and standards, methodologies, and controls to increase transparency, accuracy and consistency across groups. This role requires someone who can work with stakeholders to implement the methodology, metrics, and program standards for the assigned portfolio to ensure compliance and effective monitoring, timely reporting and identification of action plans. 5-7+ years of relevant experience, including Treasury and ALM (asset liability management), such as analyzing risk metrics and monitoring structural market risk limitsAlso governance . In-depth knowledge and understanding of asset liability management and market risk management practices. In-depth knowledge of regulatory requirements. In-depth knowledge and experience with risk policy frameworks; quality control/testing frameworks. Deep knowledge and technical proficiency gained through extensive education and business experience. Post-secondary degree in a related field of study.Soft Skills Required: Strong communication and collaboration skills Analytical, problem-solving, and critical thinking abilities Ability to influence and challenge effectively Independent and data-driven decision-making Nice to Have Skills & Experience Experience with QRM is strongly preferred (or other validation engines are an asset). CFA designation preferred. Hands-on experience with quantitative financial modelling. Knowledge of how to leverage AI and machine learning is an asset.