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The manager will design, implement, and monitor credit strategies for real estate secured lending products to optimize risk-adjusted returns. They will also provide analytical support for credit policies and ensure alignment with the bank's risk appetite framework.
Requisition ID: 273234 Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture. We are seeking a highly analytical and detail‑oriented Manager to join our Real Estate Secured Lending (RESL) Credit Strategy & Policy Analytics team within Global Risk Management. In this role, you will design, implement, and monitor credit strategies, and provide analytical support for credit policies aimed at optimizing risk‑adjusted returns and supporting Canadian Banking’s strategic priorities. You will leverage data-driven insights, collaborate closely with risk technology and business partners, and play a key role in shaping adjudication strategies, portfolio health, and policy alignment with the Bank’s Risk Appetite Framework. Is this role right for you? In this role, you will: Strategy Development Develop credit risk origination strategies for RESL products (Mortgage, HELOC), supporting adjudication decisions and credit limit setting. Develop account management strategies for HELOC product. Use data-driven analytics to uncover portfolio insights and identify opportunities for strategy enhancements. Support the full lifecycle of strategy development—from hypothesis generation to champion/challenger testing to forecasting financial impacts. Ensure strategy design adheres to regulatory, governance, and internal risk management requirements. Credit Strategy Implementation Translate strategy and policy changes into clear, detailed technical requirements. Implement strategies in origination system (FICO DM) and / or account management system (TRIAD) Collaborate with risk technology partners to validate coding accuracy and run statistical testing to ensure expected outcomes. Identify and troubleshoot issues in implementation and recommend effective solutions. Conduct post‑implementation validation to confirm strategy performance in production. Strategy Monitoring Maintain and enhance monitoring frameworks to evaluate strategy performance and alignment with targets. Analyze emerging trends, identify early signs of portfolio stress, and assess potential impacts on provisioning (PCL) as vintages mature. Evaluate strategy effectiveness and propose innovative enhancements to optimize risk/return and competitiveness. Analytics Support for Credit Policies Perform data‑driven analysis to support credit policy development and maintenance. Ensure policies align with risk appetite and comply with OSFI regulatory requirements. Support Business Line Initiatives & Projects Provide risk input for new product launches, channel changes, acquisition frameworks, and other strategic initiatives. Ensure business strategies remain within Risk Appetite Framework boundaries. Represent Risk in cross‑functional working groups and communicate risk insights clearly to stakeholders across operations, product, collections, technology, and governance. Do you have the skills that will enable you to succeed in this role? - We'd love to work with you if you have: 1–3 years of experience in credit lending, risk management, or related analytical/strategy roles. Strong logical thinking and a solid foundation in credit principles. Technical proficiency with programming or database tools such as SAS, SQL, Python, R, or Hadoop. Experience with decisioning or account management systems (e.g., FICO DM, TRIAD, TSYS) is considered an asset. Exceptional attention to detail and the ability to manage and interpret complex business requirements. Clear and concise communication skills, with the ability to translate complex analytical concepts for diverse stakeholders. A collaborative, growth‑oriented mindset with a desire to learn, coach, and partner across cross‑functional teams. Self‑driven, organized, and comfortable with ambiguity, demonstrating strong judgment and problem‑solving skills. University degree in a STEM discipline (Science, Technology, Engineering, Mathematics) OR Master’s degree in business, economics, statistics, mathematics, management sciences, or analytics. What’s in it for you? An inclusive & collaborative working environment that encourages creativity, curiosity, and celebrates success! We offer a competitive rewards package: Performance bonus, Employee Share Ownership Program, and Pension Plan Matching, Health Benefits from day one! Your career matters! You will have access to career development and progression opportunities. Location(s): Canada : Ontario : Toronto Scotiabank is a leading bank in the Americas. Guided by our purpose: "for every future", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets. At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.
The manager will design, implement, and monitor credit strategies for real estate secured lending products to optimize risk-adjusted returns. They will also provide analytical support for credit policies and ensure alignment with the bank's risk appetite framework.
Candidates must have 1-3 years of experience in credit lending or risk management and a university degree in a STEM discipline or a master's degree in a quantitative field. Proficiency in programming tools like SAS, SQL, or Python and strong logical thinking skills are required.
• Performance bonus • Employee share ownership program • Pension plan matching • Health benefits
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