Senior Analyst, Data Sciences

Overview

The Senior Analyst, Quantitative Analysis, Strategy and Insights in Corporate Treasury is ideal for a 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 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.

• 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.
• Confidently and clearly communicate and summarize statistical/algorithmic findings. Draw business conclusions and present actionable insight in a way that resonates with business/groups (story‑telling skills).
• 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.

• Apply scripting/programming skills to assemble various types of source data (unstructured, semi‑structured, and structured) into well‑prepared datasets with multiple levels of granularity (e.g., demographics, customers, products, transactions).
• Develop agreed analytical solutions by applying suitable statistical & machine learning techniques (e.g., A/B testing, prototype solutions, mathematical models, algorithms, machine learning, deep learning, artificial intelligence) to test, verify, and refine hypotheses.
• Summarize statistical findings, draw conclusions, and present actionable business recommendations in a simple, clear way to drive action.
• Use appropriate algorithms to discover patterns, performing experimental design approaches to validate findings or test hypotheses.
• Automate and enhance processes to generate scheduled reports—detailing accurate balance sheet positions and actionable analytical insights to stakeholders efficiently and timely.
• Work with various data owners to discover and select available data from internal sources and external vendors to fulfill analytical needs.
• Document data flow, systems, and processes in data collection to improve efficiency and apply use cases.
• Work with stakeholders to identify business requirements, understand distinct problems and expected outcomes; develop analytical solutions and make recommendations based on an understanding of the business strategy and stakeholder needs.
• Build effective relationships with internal/external stakeholders and ensure alignment. Provide advice and guidance to assigned business/groups on implementation of analytical solutions.
• Support development and execution of strategic initiatives in collaboration with internal and external stakeholders.
• Lead or participate in the design, implementation, and management of core business/group processes.
• Broader work or accountabilities may be assigned as needed.

• Typically between 1‑2 years of relevant experience and a graduate‑level degree in a related field of study or an equivalent combination of education and experience.
• Experience in statistical analysis, data mining, and data cleansing/transformation.
• Knowledge of visualization techniques and concepts (e.g., Power BI, Spot Fire).
• Experience with programming languages (e.g., SQL, Python, R, SAS, SPSS, MATLAB) and machine learning/deep‑learning algorithms/packages (e.g., XGBoost, H2O, Spark
  
  ML).
• Knowledge of distributed computing and/or distributed databases; experience with distributed computing languages (e.g., Hive, Hadoop, Spark) and cloud technologies (e.g., AWS Sage Maker, Azure
  
  ML).
• Exercises judgment to identify, diagnose, and solve problems within given rules.
• Works independently on a range of complex tasks, which may…