Purpose Contributes to the overall success of International Banking Fraud Management by executing analytical activities that support the regulatory validation, governance, and ongoing monitoring of fraud prevention models and rules across the IB region. The role focuses on producing accurate, timely, and well-documented analytical outputs that support compliance with internal model risk standards, external regulatory requirements (OSFI E-23 guidelines) and business objectives. All activities are conducted in compliance with governing regulations, internal policies, and procedures. Accountabilities Prepare analytical documentation and supporting materials for the validation of new fraud prevention models and rules prior to production implementation. Execute monthly monitoring of fraud models and rules in production, ensuring accuracy, consistency, and traceability of results. Provide analytical insights and well-documented materials to support regulatory reviews, internal validations, and audit processes. Maintain an up-to-date and accurate inventory of fraud models and rules across all International Banking regions. Produce standardized monitoring reports and documentation required by Fraud Governance and Model Risk Management teams. Respond to periodic and ad-hoc data and reporting requests from governance teams to support compliance with OSFI E-23 and internal controls. Demonstrate strong attention to detail and rigor in analytical reviews, recognizing the regulatory nature of all deliverables. Identify and elevate data quality, performance, or control issues with appropriate analytical support. Use Python, Power BI, and cloud-based data platforms to enhance monitoring, reporting, and analytical processes. Champion a customer focused culture to deepen client relationships and leverage broader Bank relationships, systems and knowledge. Actively pursue effective and efficient operations of his/her respective areas in accordance with Scotiabank’s Values, its Code of Conduct and the Global Sales Principles, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational, compliance, AML/ATF/sanctions and conduct risk. Champion a high performance environment and contribute to an inclusive work environment Dimensions Geographic scope: International Banking countries (Mexico, Caribbean, Chile, Peru, Uruguay), Other International Banking fraud teams (Oversight, Merchant, etc.) Relevant projects: Remediation of IB Fraud Rules validation and monitoring, Monitoring process flow for ~30 models Systems & tools: Python, Power BI Education / Experience Undergraduate studies in a quantitative discipline (Statistics, Mathematics, Engineering, Economics, Computer Science, or similar). +2 years of experience in analytics, model developing, model validation, or model monitoring within financial services. Advanced working knowledge of Python and Power BI. Strong attention to detail and demonstrated rigor in analytical reviews supporting regulatory deliverables. Knowledge of model risk management and regulatory monitoring processes is desirable. Experience working with SQL and data in Microsoft cloud environments (e.g., Azure-based platforms) is desirable. Professional proficiency in English is desirable (optional, not mandatory) Location(s): Colombia : Bogota : Bogota #J-18808-Ljbffr