Senior Analyst, Wholesale Liquidity Risk Management

Work Location: Toronto, Ontario, Canada

Hours: 37.5

Line Of Business: Finance

Pay Details: $81,600 - $115,200 CAD. This role is eligible for a discretionary variable compensation award that considers business and individual performance. The base pay actually offered may vary based upon the candidate's skills and experience, job-related knowledge, geographic location, and other specific business and organizational needs.

The Senior Analyst, Wholesale Liquidity Risk Management is a key team member involved in monitoring, analyzing, and forecasting liquidity risk for TD Securities. The role focuses on contributing to analytics and insights to support decision‑making and liquidity risk management processes through data visualization and data science techniques.

Work activities include a blend of highly collaborative activities and individual deliverables. Individuals are expected to be onsite 4 days a week.

• Contribute to the monitoring of liquidity metrics including LCR, NCCF, and NSFR and analysis of wholesale businesses
• Support forecasting activities by preparing analysis and assisting in maintaining liquidity models.
• Collaborate with stakeholders across Treasury, Risk, and business lines to gather relevant information and provide insights.
• Develop liquidity analytics and visualizations (e.g., dashboards) to enhance monitoring, forecasting, and decision‑making.
• Apply data science techniques (e.g., data modeling, statistical analysis, scenario analysis) to improve liquidity insights and risk identification.
• Prepare materials and analysis to support senior management reporting and decision‑making.
• Support regulatory submissions, policy reviews, and ad hoc liquidity analyses.
• Follow established policies and procedures to ensure strong governance and control.

• Foundational experience or exposure to Treasury, Capital Markets, Liquidity Risk, or Finance/Accounting.
• Strong analytical skills with ability to interpret data and support problem‑solving.
• Ability to contribute to solving structured and moderately complex problems.
• Developing stakeholder management skills with the ability to work collaboratively.
• Effective communication skills with ability to explain analysis clearly.
• Good organizational skills with ability to manage multiple tasks with guidance.
• Interest in process improvement and operational efficiency.
• Working knowledge of data analytics and visualization tools (e.g., Power BI, Python, SQL, or similar tools).
• Familiarity with data science concepts, statistical analysis, and building analytical models is an asset.

• 1-3 years of experience in finance, accounting, treasury, or capital markets (co‑op/internship experience considered).
• Post‑secondary degree in Finance, Business, Economics, or related field.
• Progress toward professional designation (CPA, CFA, FRM) is an asset.
• Basic understanding of wholesale banking products is beneficial.

Language Requirement (Quebec Only): Sans Objet