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
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
Requirements
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 stakeholders
Exceptional project management and organizational skills, with the ability to effectively prioritize and manage tight deadlines
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