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 senior manager provides support and execution in the validation of Canadian and International retail / non-retail credit adjudication and behavior models, credit retail strategies, as well as AML. This position entitles activities related to model validation work including data management and model quality assurance testing / validation to establish overall soundness of the credit 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
- Validate retail scoring (adjudication / behaviour / collection) models and non-retail adjudication Models.
- Validate retail credit strategy models (including adjudication, behaviour, collection).
- Validate AML models across the enterprise, including the vertical functions of (but not limited to), transaction monitoring, client risk rating, screening, etc.
- For the model being validated, review the methodology implemented for reasonableness and applicability, analyze the quality of the model's input data, assess soundness of model methodology, review the architecture of the software application implementing the model, perform quantitative tests and qualitative assessments of the model, execute independent calculations, and analyze / interpret model output.
- Based on the results of model validation, recommend improvements to the model or the model development process and identify material improvement opportunities in the models being validated.
- Responsible for reviewing and completing draft validation reports and submission of all necessary documentation related to validation assignments to the Director; ensure accuracy and completeness of archived information and related documentation to allow independent third-party review of the validation work performed.
- Establish communication with model owner / developers to understand model rationale and issues; maintain relationship with key contacts as identified for each validation.
- Communicate findings from validation work to stakeholders.
- Maintain collaborative relationship with clients
- Assist Director to provide guidance to junior staff, as needed, and conduct verification of deliverables before submission.
- Provide support to Director to respond to ad hoc, regulatory and audit requests.
- Recommend and enforce improvements to tests / methods to fulfill internal validation needs and to align (if applicable) with industry practices
- Responsible for keeping the Bank inventory system updated by input validation results to the system after each validation is completed or at each event requiring an update.
- Comply with internal policies, procedures, and regulatory requirements where applicable.
- Provide support to resolve outstanding audit and regulatory issues, and to respond to ad hoc senior management and regulatory requests.
- Keep abreast of changes in the regulatory requirements and evolving expectations within the industry.
- Understand how the Bank’s risk appetite and risk culture should be considered in day-to-day activities and decisions.
- Actively pursues effective and efficient operations of their 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.
- Champions a customer focused culture to deepen client relationships and leverage broader Bank relationships, systems and knowledge.
- Champions a high performance environment and contributes to an inclusive work environment.
Education
Experience :3+ year of experience in the data management or data architect, with familiarity and comfort in handling large data3+ 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 :Strong understanding of various modelling techniques and comfortable to conduct various testing independentlyStrong knowledge of statistical techniques and proven ability to employ these to analyze large sets of dataAbility 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 requiredExcellent 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 environmentsExperience in Oracle Mantas AML solutions or knowledge of AML models and tools would be an assetKnowledge of financial risk management, especially issues and techniques pertaining to credit risk management – including their practical implications and limitations is desirable. Knowledge of the AML regulatory landscape would be considered an assetExcellent verbal and written communication skillsAbility to speak and write in English is required for this role. .Working Conditions
Work in a standard office-based environment; non-standard hours are a common occurrence#J-18808-Ljbffr