Senior Treasury Manager, Liquidity Measurement - Analytics & Reporting

Work Location:
Toronto, Ontario, Canada

Hours:
37.5

Line of Business:
Finance

Pay Details:
$108,800 - $163,200 CAD

This role is eligible for a discretionary variable compensation award that considers business and individual performance.

TD is committed to providing fair and equitable compensation opportunities to all colleagues. Growth opportunities and skill development are defining features of the colleague experience at TD. Our compensation policies and practices have been designed to allow colleagues to progress through the salary range over time as they progress in their role. 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.

As a candidate, you are encouraged to ask compensation related questions and have an open dialogue with your recruiter who can provide you more specific details for this role.

Job Description:

Role Responsibilities

Treasury Liquidity Measurement - Analytics & Reporting function delivers critical regulatory and internal liquidity metrics & analytics and firm activities via regular regulatory and internal stress metric reporting, customized liquidity analysis, systematically generated management reporting and analytical tools. Liquidity Measurement has a unique vantage point in the firm's data flows that, when coupled with a deep understanding of client and market activities, allows it to build scalable workflows, processes and procedures to deliver actionable business insights. The following are core responsibilities for A&R function:

• Delivering regular and reliable liquidity metrics, analytics & insights based on deep understanding of the firm's businesses and its client activities.
• Building robust, systematic & efficient workflows, processes and procedures around the production of liquidity analytics for both management and regulatory reporting.
• Responsible for quality, timeliness and completeness of the underlying data used to produce internal and regulatory metrics and reporting
• Solid understanding and experience with building Controls and Governance framework to ensure lower operational risk
• Measuring, analyzing and explaining the key liquidity risk metrics such as the Liquidity Coverage Ratio (LCR), Net Cumulative Cash Flow (NCCF) and Net Stable Funding Ratio (NSFR). Ensure all analysis is complete and accurate with thorough commentary, while escalating issues in a timely manner.
• Prepare and ensure accuracy in regulatory liquidity risk reporting, including submission to the Office of the Superintendent of Financial Institutions (OSFI) and other relevant regulatory bodies

• Masters or Bachelors degree in a quantitative discipline such as finance, financial engineering, mathematics, economics, or computer science
• 9+ years of experience in finance / accounting, bank treasury or other relevant experience. Understanding of key liquidity regulations like LCR, and NSFR, and ILST is beneficial
• 5+ years of experience managing a team. Demonstrated ability to build and develop a strong team exhibiting positive team dynamics, and advise internal partners and stakeholder
• Exceptional project management and organizational skills, with the ability to effectively prioritize and manage tight deadlines
• Entrepreneurial, analytically creative, self-motivated and team-oriented.
• Excellent written, verbal and team-oriented communication skills.
• Experience with programming for extract transform load (ETL) operations and data analysis (including performance optimization) using languages such as, but not limited to, Python, SQL and R.
• Experience in developing data visualization and business intelligence solutions using tools such as, but not limited to, Tableau, Alteryx, PowerBI, and front-end technologies and languages.
• Experience in liquidity risk measurement and/or management, including broad knowledge of the risks arising from personal, commercial and wholesale banking products and businesses
• Working knowledge of the financial industry, markets and products and associated non-financial risk
• Working knowledge of mathematics including statistics, time series analysis and numerical algorithms is beneficial