07/16/2026 Address: 33 Dundas Street West Job Family Group: Data Analytics & Reporting This is a hybrid role in Toronto Uses advanced analytical algorithms and technologies (e.g. machine learning, deep learning, artificial intelligence) to mine and analyze large sets of structured and unstructured data to obtain insights. Designs and constructs new processes for modeling data. Develops predictive models and leverages big data technology to design solutions that deliver smarter business decisions, improve customer experience, and drive productivity. Collaborates with other data and analytics professionals and teams to optimize, refine and scale analysis into mature analytics solutions. • Plays an active role in the futuristic display of data, and advancement of innovative data strategies to understand consumer trends and address business problems. • Uses data mining and extracting usable data from valuable data sources to assess feasibility of AI/ML solutions for improved processing and usage of organization data. • Conducts large-scale analysis of information to discover patterns and trends by combining different modules and algorithms. • Uses analysis to provide recommendations and advice for business leaders to maintain to maintain market competitiveness. • Develops prediction systems and machine learning algorithms. Investigates additional technologies and tools for developing innovative data solutions for business stakeholders. • Collaborate together with the product team and partners to understand and provide data-driven decision making, business planning and future roadmap. • Focus is primarily on business/group within BMO; may have broader, enterprise-wide focus. • Provides specialized consulting, analytical and technical support. • Exercises judgment to identify, diagnose, and solve problems within given rules. • Works independently and regularly handles non-routine situations. • Broader work or accountabilities may be assigned as needed. • Take measured risks while protecting the bank by applying our Risk Management Framework in the execution of your role, in line with our Risk Culture and within our approved Risk Appetite, making sound and risk informed decisions that align to business strategy, protect assets, and adhere to applicable policy documents (Frameworks, Policies, Standards, Procedures and Supporting documents), laws and regulations. Qualifications: Intermediate level of proficiency: • Mathematics, statistics & operations research. • Deep learning. • Machine learning. • Trust, bias and ethics. • Creative thinking. • Critical thinking. Advanced level of proficiency: • Big data. • Data visualization. • Computational thinking and programming. • Data wrangling. • Data preprocessing. • Creative reasoning. • Verbal & written communication skills. • Collaboration & team skills. • Analytical and problem solving skills. • Influence skills. • Data driven decision making. • Typically between 5 - 7 years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience. • Deep knowledge and technical proficiency gained through extensive education and business experience. Salary: $82,800.00 - $154,800.00 Pay Type: Salaried The above represents BMO Financial Group’s pay range and type. Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group’s expected target for the first year in this position. BMO Financial Group’s total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit: