**Job Title: Senior Manager, Global Model Risk Management**
**Requisition ID: 213475**

Join a purpose-driven team committed to results in an inclusive and high-performing culture. The Global Model Risk Management area provides independent and consistent model validation and approval across various risk types, including market risk, credit risk, operational risk, and other key financial models.

**Key Responsibilities:**
- **Model Validation:**
- Lead the independent validation of IFRS 9 provisioning models across all business lines.
- Conduct comprehensive reviews of data processing, including independent replication of data extraction and manipulation.
- Evaluate assumptions, methodologies, outputs of models, and assess model performance through quantitative tests.
- Provide feedback to model developers and communicate validation results to model owners.
- Complete validation reports and ensure documentation accuracy for third-party review.
- Support resolution of audit and regulatory issues and respond to ad hoc requests from senior management.

- **Team Leadership:**
- Lead and manage a team of model validators, providing guidance and performance management.
- Develop and implement model validation strategies aligned with regulatory requirements.
- Foster a culture of continuous improvement within the team.

- **Regulatory Compliance:**
- Ensure compliance with regulatory requirements and internal policies.
- Stay updated on industry developments and recommend improvements to validation methods.

- **Stakeholder Management:**
- Engage with key stakeholders, including model developers and senior management, to facilitate validation processes.
- Effectively communicate technical information to both technical and non-technical audiences.

**Required Education & Experience:**
- Master’s or PhD level education with exposure to quantitative/statistical methods.
- 5+ years of experience in the development and/or validation of risk and/or financial models at a major financial institution.
- Knowledge of IFRS 9 and AIRB related credit risk management practices.
- Industry certifications (e.g., FRM, CFA, CQF, MBA) are a plus.

**Technical Competencies:**
- Proficiency in statistical/numerical packages (Python, SAS, R, MATLAB), with advanced Python skills preferred.
- Strong data analysis and statistical modeling capabilities.
- Knowledge of data visualization tools and credit risk management policies.

**Behavioral Competencies:**
- Self-driven with the ability to lead multiple initiatives/projects.
- Strong communication skills, both written and verbal.
- Flexibility and creativity in problem-solving.
- Ability to work independently and manage multiple priorities.

**What's in it for you:**
- Opportunity to join a forward-thinking and collaborative team.
- Diverse opportunities for professional development.
- Inclusive working environment that encourages creativity and celebrates success.
- Hybrid work environment in a modern office space with collaborative areas.

**Location:**
Toronto, Ontario, Canada

At Scotiabank, we value the unique skills and experiences each individual brings to the Bank and are committed to creating an inclusive and accessible environment for everyone. If you require accommodation during the recruitment process, please let our Recruitment team know.

Candidates must apply directly online to be considered for this role. Thank you for your interest in a career at Scotiabank. Only candidates selected for an interview will be contacted.