Salary
💰 CA$76,800 - CA$115,200 per year
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