Requisition ID: 259283

Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

The Manager, Model Validation provides independent, objective assessment and effective challenge of quantitative models used across Treasury (ALM, liquidity and cashflow management, funds transfer pricing), Interest Rate Risk, and enterprise stress testing. This role executes validations in line with the Bank’s Model Risk Management Policy and regulatory expectations, working closely with model developers and stakeholders across Treasury, Risk, Economics, and technology teams to ensure models are conceptually sound, appropriately implemented, and fit for use.

Is this role right for you? In this role, you will be driving :

- Assist Senior Manager to execute independent validations of quantitative models (e.g., asset and liability management, liquidity risk, interest rate risk in the banking book, funds transfer pricing components, non-maturity deposits, and stress testing models) in accordance with internal policy and regulatory expectations.
- Perform in-depth technical reviews of model methodology, assumptions, data inputs, limitations, governance, and outcomes; design and execute quantitative tests such as replication, sensitivity analysis, benchmarking, and back-testing/performance monitoring (as applicable).
- Contribute to the ongoing enhancement of validation templates, testing approaches, and documentation standards by sharing lessons learned and proposing practical improvements.
- Ensure validation activities and evidence are completed in accordance with internal policies/standards and relevant regulatory expectations; maintain organized workpapers and traceability from requirements to testing to conclusions.
- Engage with model owners and stakeholders to clarify model purpose,



use, and limitations; communicate validation questions, findings, and remediation expectations in a timely and constructive manner.
- Document work in clear, well-structured validation reports that articulate findings, model risks, and practical recommendations for both technical and senior stakeholders; assess issue materiality/impact and support remediation planning and ongoing monitoring.
- Partner with model owners, developers, technology teams, and risk stakeholders to understand model design and usage, while providing independent and constructive challenge; communicate validation issues and track them through resolution.
- Support governance forums, internal audit, and regulatory reviews by providing analysis, documentation, and responses; ensure validation evidence and archived documentation are complete and suitable for independent third-party review.
- Contribute to continuous improvement of validation standards, templates, and techniques; conduct targeted research on emerging best practices and, where applicable, provide guidance to junior team members.
- Assess stress testing model governance and controls (data lineage, change management, model use and limitations, and documentation standards) and ensure validation evidence is fit for internal audit and regulatory review, including clear traceability from requirements to testing to conclusions.





Do you have the skills that will enable you to succeed in this role? We'd love to work with you if you have :

- Advanced degree in a quantitative discipline (e.g., mathematics, statistics, economics, financial engineering, physics, engineering, finance, or data science) or equivalent experience.
- 2-3 years of relevant experience in model validation, model development, or quantitative risk management within a financial institution; experience with Treasury/ALM, liquidity and cashflow management, interest rate risk (e.g., SIRR/IRRBB), and/or enterprise stress testing is strongly preferred.
- Ability to independently plan and deliver validation work (scope, testing strategy, timelines, and reporting) and manage multiple validations in parallel with appropriate escalation of risks and issues.
- Strong understanding of modelling techniques and model risk concepts; ability to discover and diagnose risks related to data, assumptions, methodology, process, and implementation.
- Proficiency with analytical/programming tools (e.g., Python, SAS, R, SQL, MATLAB, C++) and advanced Excel; able to independently design and execute validation tests.
- Excellent written, presentation, and interpersonal skills; able to communicate complex concepts clearly and influence outcomes through constructive challenge.
- Strong analytical and problem-solving skills, attention to detail, and ability to manage multiple priorities with sound judgment and accountability.

What's in it for you?

- We have an inclusive and collaborative work workplace that values curiosity & ownership, encourages pragmatic creativity (i.e. true innovation), and celebrates success!
- An inclusive working environment that encourages creativity, curiosity, and celebrates success!
- A rew

📌 Manager (Toronto)
🏢 Scotiabank
📍 Toronto