Treasury Liquidity Analytics Specialist

TD

Toronto

On-site

CAD 70,000 - 98,000

Full time

4 days ago
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Job summary

TD is seeking a Senior Treasury Liquidity Measurement professional to deliver analytics and reporting for critical regulatory and internal liquidity metrics in Toronto, with a focus on scalable workflows and data-driven insights. The role requires 4+ years in finance or treasury, a quantitative degree, and hands-on experience with ETL, Python, SQL, R, and BI tools such as Tableau, Alteryx, and Power BI.

Onsite work four days per week, with growth opportunities and a comprehensive total rewards

Qualifications

  • Masters or Bachelors degree in a quantitative discipline such as finance, financial engineering, mathematics, economics, or computer science
  • 4+ years of experience in finance / accounting, bank treasury or other relevant experience
  • Experience with ETL programming and data analysis using Python, SQL and R
  • Experience in developing data visualization and BI solutions with Tableau, Alteryx, PowerBI

Responsibilities

  • Delivering regular and reliable liquidity metrics, analytics & insights based on deep understanding of the firm’s businesses and its client activities.
  • Building robust, systematic workflows around the production of liquidity analytics for management and regulatory reporting.
  • Ensuring data quality, timeliness, and completeness of underlying data for internal and regulatory metrics.
  • Building governance frameworks to reduce operational risk around liquidity reporting.
  • Measuring and explaining key liquidity risk metrics like LCR, NCCF and NSFR, with clear commentary.
  • Preparing regulatory liquidity risk reporting submissions to OSFI and other bodies.

Skills

ETL Operations
Python
SQL
R

Education

Masters or Bachelors in quantitative discipline

Tools

Tableau
Alteryx
PowerBI

Job description

TD is seeking a Senior Treasury Liquidity Measurement professional to deliver analytics and reporting for critical regulatory and internal liquidity metrics in Toronto, with a focus on scalable workflows and data-driven insights. The role requires 4+ years in finance or treasury, a quantitative degree, and hands-on experience with ETL, Python, SQL, R, and BI tools such as Tableau, Alteryx, and Power BI.

Onsite work four days per week, with growth opportunities and a comprehensive total rewards

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