Liquidity Specialty Manager

Liquidity Analytics ManagerThis role sits in Corporate Treasury and will lead Liquidity Risk data and analytics. The individual will proactively work with stakeholders across corporate and revenue generating divisions to measure, monitor, and forecast non-maturity deposits. This role is a senior individual contributor role and requires proven creative problem solving, communication, and leadership.Position Responsibilities:• Own the data inputs, methodology, and narrative for classifying deposits as retail stable/unstable and commercial operational/non-operational, as defined in Reg. WW - US LCR (Liquidity Coverage Ratio).• Forecast non-maturity deposits across a variety of business-as-usual and stressed market environments.• Leverage research papers, regulatory guidance, data analytics, and stakeholder judgement to determine deposit liquidity risk attributes.• Create "straw-man" examples for senior leadership in lower environments (e.g. Microsoft Excel), to communicate modelling approaches, sensitivity analysis, and impact assessments.• Provide data requirements to enterprise data teams to ensure automation of reporting.• Responsible for continuous evolution of liquidity data and analytics control environment.• Identify, develop, and communicate solutions to bridge management reporting and forecasting data limitations.Provide input for risk limits and metrics, liquidity stress testing, and funds transfer pricing methodologies.Position Qualifications:• Bachelor's Degree from an accredited university in Accounting, Finance, Mathematics, Economics, Engineering or related field• 8 years of experience in Liquidity/non-maturity deposit forecasting or related experience• Experience and knowledge of retail stable/unstable and commercial operational/non-operational deposits, as defined in Reg. WW -- US LCR (Liquidity Coverage Ratio)• Industry experience in Corporate Treasury, management accounting, FP&A, or other risk management fieldsMBA, CPA, CFA, FRM, or related professional designation is preferred• Proficient in Microsoft Office (Excel, PowerBi), Snowflake (SQL), Python, Datahiku or similar data analytics tools• Clear and concise written and verbal communication skills• Self-motivated and detail orientedWork Best Category:Category C - Days in the office will either be designated days or will vary week to week from 2-5 daysHours:8:00am - 5:00pm Monday - FridaySalary:To Be Determined Based on Individual Experience