Manager, Capital Markets Stress Testing and Data Analytics

1 week ago


Toronto, Canada Scotiabank Full time

Requisition ID: 230815

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

As the team continues to grow in response to increasing complexity and regulatory requirements, this high-impact role offers the opportunity to design, implement, and enhance stress testing frameworks for market risk and counterparty credit risk, leverage data analytics, shape risk assessments, and drive actionable insights that support critical decision-making for business and management. You'll work alongside an exceptional team to have a direct impact on the Bank’s risk management strategy, ensuring robust and accurate stress testing processes that support informed decision-making, regulatory compliance, and the Bank’s overall risk appetite.

**About the Team**

Capital Markets Stress Testing and Data Analytics is at the center of several initiatives for both market and counterparty credit risk. This is a cross-functional group of risk professionals, quantitative analysts, and data experts, working together to support the Bank’s broader risk management strategy. The focus is to provide in-depth analysis for stress testing scenarios and utilizations, ensure capital adequacy, and promote proactive risk management across all trading desks and portfolios. Close partnerships are maintained with senior leaders, trading desks, product specialists, model development, model validation, regulatory compliance, and technology.

The team’s responsibilities span several key areas:

- Elevate Stress Testing: We lead initiatives to integrate stress testing into the firm’s risk culture, ensuring it is embedded across all capital markets products and enterprise exposures. This includes the design of stress scenarios, conducting scenario analysis for all trading books, and providing portfolio analysis to assess the impact on risk profiles. We aim to effectively use stress testing for decision-making, risk identification, and resilience planning.
- Stress Testing Methodology: Our team is responsible for developing, refining, and enhancing stress testing methodologies for both market risk and counterparty credit risk. We focus on risk modelling (valuations and analytics), including but not limited to scenario design, scenario calibration, scenario generation, and implementation. We ensure our models align with best practices, accurately reflect the dynamics of the markets and counterparty exposures and help anticipate potential vulnerabilities in times of stress or market disruption.

**Is this role right for you?**

**Responsibilities**:
**1. Implement Stress Testing Scenarios**
- Scenario Exploration: Compile weekly summaries based on current market and financial environment to identify plausible scenarios by highlighting specific risk concerns.
- Scenario Implementation: Accurately implement new scenarios or modify existing ones as needed, ensuring timely execution.
- Analysis: Review stress testing results for plausible scenarios and effectively communicate insights.

**2. Design Stress Testing Investigation Tools**
- Visualization Tools: Create interactive and user-friendly Power BI dashboards.
- Training: Provide training to stakeholders to ensure effective utilization of the tools.
- Ongoing Development: Maintain and enhance the tools based on user feedback.

**3. Assist Regulatory Stress Testing Programs**
- Model Runs: Perform regular model runs related to enterprise and subsidiary regulatory requirements on a monthly and quarterly basis.
- Ad-hoc Requests: Actively initiate investigation on stress testing related enquiries.
- New Stress Testing Programs: Implement and develop new stress testing programs based on regulatory requirements under the guidance of senior team members.

**4. Enhance Stress Testing Framework**
- Continuous Improvement: Regularly review and update the framework to incorporate new data, scenarios, methodologies, and processes.
- Data Quality: Ensure stress testing related data are validated properly by automating review processes or by partnering with technology teams.
- Testing: Perform relevant testing in collaboration with team members or by partnering with various risk groups and stakeholders for stress testing methodology updates or technology migrations.
- Communication: Maintain open dialogue with model developers, risk teams, and business lines regarding various ad-hoc analyses, methodologies, documentation, reporting, and preparation of materials.

**Do you have the skills that will enable you to succeed in this role?**
- Graduated from a quantitative discipline such as (but not limited to) Economics, Financial engineering, Statistics, Physics, Engineering, Data science, or Mathematics, with a strong interest in risk, statistical modeling, research, and data visualization.
- 1-2 years of experience in capital markets, with good understanding of finance, derivative products, market risk and counterparty credit risk measures.
- Strong written and verbal commun



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