Specialist III-IC Liquidity and Funding

Bank of Montreal•Chicago, IL

20h•$138,632 - $165,600•Hybrid

About The Position

BMO Bank N.A. is hiring a Specialist III-IC Liquidity and Funding to support development and execution of the Enterprise’s liquidity and funding risk management strategy for executive and Board approval. Working with Market Risk Management, the role uses data analytics and visualizations to recommend liquidity and funding risk appetite limits. The position owns and automates end-to-end data pipelines, monitors liquidity stress testing, and develops interactive reports and dashboards that help identify trends, breaches, and accounts exceeding allocated limits. The role works with Market Risk Management, business groups, and Finance to develop processes for identifying, measuring, and managing liquidity and funding risks. It advises business groups on liquidity and funding matters, including recovery and resolution planning, and maintains the model and assumption framework used to measure these risks. The Specialist identifies emerging issues and risk drivers, recommends and implements solutions based on risk assessments, and manages large data models used to forecast bank liquidity and funding capabilities under different stress scenarios. Additional responsibilities include liaising with stakeholders, industry specialty groups, and regulators; contributing to liquidity and funding risk modeling plans and programs; integrating data from multiple sources; monitoring and tracking balance sheet usage; producing reports and dashboards; and analyzing business product pricing and funds transfer pricing processes. This is a hybrid position requiring four days in the office per week.

Requirements

Master’s degree in Finance, Data Science, Computer Science, or a related field (or foreign education equivalent), plus three years of experience as a Solution Specialist, Data Scientist, or in a related occupation in data analytics, data engineering, or computer science; OR a bachelor’s degree in one of those fields (or foreign education equivalent), plus five years of such experience.
Experience using SAS, R programming, SPSS, and Python for data modeling.
Experience using SQL to query and create tables or views for downstream consumption.
Experience with dashboarding tools, including Power BI or Tableau.
Experience in data analytics and complex Excel pivot tables and lookups, including index+match, vlookup, and sumifs.
Experience using cloud-based data platforms, including Snowflake, AWS, GCP, and Azure, to create data structures.
Experience optimizing data processing to enable automation.
Experience leading discovery and gathering complex client requirements to create analytical solutions.
Experience with workflow management and JIRA development and tracking.

Responsibilities

Support development and execution of the Enterprise’s liquidity and funding risk management strategy for executive and Board approval.
Collaborate with Market Risk Management to recommend liquidity and funding-related risk appetite limits using data analytics and visualizations.
Automate and own end-to-end data pipelines, including data ingestion, transformation, analytics, and dashboard reporting.
Monitor daily liquidity stress testing processes and resolve issues related to commitment items.
Develop interactive reports and dashboards to visualize trends and breaches, identify accounts exceeding allocated limits, and support data-driven management decisions.
Collaborate with Market Risk Management, business groups, and Finance to develop processes to identify, measure, and manage liquidity and funding risks.
Advise business groups on liquidity and funding matters, including recovery and resolution planning.
Develop and maintain the model and assumption framework used to measure liquidity and funding risk, and recommend changes, including reviews of liquidity objectives, positions, and assumptions for new business transactions.
Identify emerging issues and trends, inform decision-making, and understand risk drivers.
Recommend and implement solutions based on risk assessments, analysis of issues, and business implications.
Manage development of large data models to forecast the bank’s liquidity and funding capabilities under different stress scenarios.
Liaise with stakeholders, industry specialty groups, and regulators to align agendas and advocate the company’s position on market or regulatory developments.
Provide input into planning and implementation of liquidity and funding risk modeling activities and programs.
Integrate information from multiple sources to improve process efficiency, identify patterns and outliers, and streamline reporting.
Monitor and track balance sheet usage.
Design and produce reports and dashboards.
Analyze data and information to provide insights into business product pricing and funds transfer pricing processes.