TD

Senior Treasury Analyst, Liquidity Measurement

TD

full-time

Posted on:

Origin:  • 🇺🇸 United States • New York, North Carolina

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Salary

💰 CA$76,800 - CA$115,200 per year

Job Level

Senior

Tech Stack

ETLPythonSQLTableau

About the role

  • Deliver regular and reliable liquidity metrics, analytics & insights based on deep understanding of the firm’s businesses and its client activities
  • Build 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
  • Build Controls and Governance framework to ensure lower operational risk
  • Measure, analyze and explain 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, 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
  • Deliver customized liquidity analysis, systematically generated management reporting and analytical tools

Requirements

  • Masters or Bachelors degree in a quantitative discipline such as finance, financial engineering, mathematics, economics, or computer science
  • 6+ 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
  • Demonstrated ability to build and develop a strong team exhibiting positive team dynamics
  • Exceptional project management and organizational skills
  • 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 using languages such as Python, SQL and R
  • Experience in developing data visualization and business intelligence solutions using tools such as Tableau, Alteryx, PowerBI, and front-end technologies
  • Experience in liquidity risk measurement and/or management and knowledge of risks from personal, commercial and wholesale banking products
  • 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
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