The Senior Analyst, Quantitative Analysis, Strategy and Insights in Corporate Treasury is ideal for candidate who wants to work on developing, enhancing, implementing and maintaining quantitative models and analytics suites. They would do so by using conventional econometric and machine learning techniques, for the purposes of asset liability, liquidity, and interest rate risk management, customer analytics, profitability, and stress testing under various macro-economic scenarios. This involves analyzing large account-level and transaction-level data, articulating the problem statement, and specifying the most appropriate quantitative solution. The successful candidate is someone who can effectively apply knowledge of advanced analytic algorithms and modeling techniques (e.g. large data processing, statistical modeling, machine learning) to deliver better predictions and/or intelligent automation that enables smarter business decisions, improved customer experience, and drives productivity. They should confidently and clearly communicate and summarize statistical/algorithmic findings, draw business conclusions, and present actionable insight in a way that resonates with business/groups (i.e., story-telling skills). Additionally, they will drive innovation through the development of Data & AI products that can be leveraged across the organization and establish best practices in alignment with Data & AI governance frameworks of BMO.