Manager, Model Validation Enviar candidatura ahora » **Fecha:** 19 ene 2026 **Ubicación:** Bogota, DC, CO **Empresa:** Scotiabank ID de la solicitud: 246132 Gracias por tu interés en ScotiaGBS, el mejor campus de Bogotá. Únete a un equipo ganador con un propósito claro, comprometido con el logro de resultados en un entorno inclusivo y de alto desempeño. **Purpose** The Global Model Risk Management area provides independent and consistent model validation and approval across various risk types, including market risk, retail/non-retail credit risk, operational risk, capital models, Anti Money Laundering (AML) and other key risk/financial models. The manager provides support to the Senior Manager in the validation of models and strategies, which may include Canadian and International retail/non-retail credit adjudication and behavior, credit retail strategies, AML, Fraud,or Market Risk Capital. This position entitles activities related to model validation work including data management and model quality assurance testing/validation to establish overall soundness of the risk measurement, delivery of various ad-hoc validation assignments, collaboration with the model development teams and business lines, and communicating results to model owners ensuring compliance with internal framework and regulatory requirements. He/she may also communicate and negotiate with the different counterparties regarding issues identified during the validation. **Accountabilities** + Plan and execute validations (supporting the Senior Manager/Director and/or independently) for models and strategies across one or more risk domains, which may include: Retail/non‑retail credit adjudication and behaviour, retail credit strategies (adjudication, behaviour, collections), AML models (e.g., transaction monitoring, customer/client risk rating, screening), Fraud, market risk and counterparty credit risk capital models, stress testing, and trade surveillance. + Define the validation scope and framework for each assignment, including objectives, uses/limitations, regulatory context, testing strategy, success criteria, and materiality thresholds. + Perform detailed quantitative and technical assessments, including: + Data: input data quality, lineage, representativeness, stability, and bias assessment. + Conceptual soundness: model design, assumptions, segmentation, variable selection/feature engineering, and reasonableness of methodology. + Implementation verification: code/configuration review, architecture and control assessment (versioning, access, change management), and benchmark/replication testing. + Performance testing: discrimination, calibration, stability/PSI, back‑testing, sensitivity/what‑if analysis, stress/scenario analysis, and (where relevant) P&L attribution/CCR exposure checks or AML detection efficacy. + Execute independent calculations and programming to reproduce and analyze model behaviour and performance; design and automate validation tests and analytics as appropriate. + Formulate clear recommendations to remediate issues and enhance models, data pipelines, implementation controls, monitoring, and/or development processes; assess materiality and prioritize actions. + Produce and maintain validation deliverables: draft/final validation reports, issue logs, model risk ratings, executive summaries, workpapers, and supporting documentation; ensure accuracy, traceability, and completeness for independent review. + Communicate findings effectively to stakeholders (model owners, developers, business, risk, technology, audit), present conclusions, negotiate remediation plans/timelines, and maintain collaborative relationships throughout the validation lifecycle. + Governance and compliance: operate in alignment with internal Model Risk Management policies, standards, and applicable regulatory/supervisory expectations (e.g., SR 11‑7, OSFI/BCBS guidance, AMLD/FATF), as relevant to the model’s domain and jurisdiction. + Inventory & lifecycle management: support keeping the model inventory current; track validation schedules, approvals, issue statuses, conditions, and periodic review requirements. + Regulatory and audit support: provide timely, direct support to address audits/examinations, resolve outstanding issues, and respond to ad hoc requests from Senior Management, Audit, and Regulators. + Methodology advancement and standardization: research and develop new validation techniques, enhance test libraries, templates, and frameworks, and align practices with evolving industry standards. + Continuous monitoring support: advise on performance metrics, thresholds, alerts/triggers, change‑impact assessments, and annual/periodic reviews. + Stakeholder management and risk culture: build strong relationships with key contacts for each validation, promote a sound model risk culture, and drive constructive challenge. **Education / Experience / Other Information** Experience: + 1+ year of experience in the data management or data architect, with familiarity and comfort in handling large data + 2+ year of experience in the development and/or validation of credit risk or AML models is desirable. + Exposure or experience in other risk functions such as credit risk, AML, market risk, or operational risk management also desirable. **Required Functional (Technical) Competencies:** + Sound understanding of various modelling techniques and comfortable to conduct various testing independently + Strong knowledge of statistical techniques and proven ability to employ these to analyze large sets of data + Ability to effectively utilize relational database and SQL queries for data analysis. + Proficiency in construction and executing distributed queries from a variety of databases/sources is required + Excellent verbal and written communication skills. + Hands on programming skills, particularly statistical and database modeling tools (SQL, SAS, R, Python VBA, MATLAB, Angoss Knowledge Studio or similar). Ability to adapt to various programming languages and environments. + Experience in Oracle Mantas AML solutions or knowledge of AML models and tools would be an asset + Knowledge of financial risk management, especially issues and techniques pertaining to credit risk management – including their practical implications and limitations is desirable. + Excellent verbal and written communication skills + Hands on programming skills, particularly statistical and database modeling tools (SQL, SAS, R, Python VBA, MATLAB, Angoss Knowledge Studio or similar). Ability to adapt to various programming languages and environments. + Experience in Oracle Mantas AML solutions or knowledge of AML models and tools would be an asset + Knowledge of financial risk management, especially issues and techniques pertaining to credit risk management – including their practical implications and limitations is desirable. + Excellent verbal and written communication skills **Working Conditions** + Work in a standard office-based environment; non-standard hours are a common occurrence. Ubicación(s): Colombia : Bogota : Bogota ScotiaGBS forma parte del grupo de empresas de Scotiabank ubicado en Bogotá, Colombia, y fue creado para apoyar diversos procesos del Banco y el desarrollo y ejecución de su estrategia global de servicios en 15 países de las Américas. Está compuesto por 7 unidades de servicio. Ofrecemos un ambiente de trabajo inclusivo y positivo, además de ventajas competitivas. En ScotiaGBS, valoramos las habilidades y experiencias únicas que cada persona aporta al Banco y nos hemos comprometido a crear y mantener un entorno inclusivo y accesible para todos. Los candidatos deben postularse directamente en línea si desean ser tomados en cuenta para este puesto. Agradecemos a todos los candidatos por su interés en esta oportunidad profesional en ScotiaGBS; sin embargo, solo contactaremos a quienes hayan sido seleccionados para una entrevista.