Data Science Manager, Liquidity and Funding Management

Data Science Manager Corporate Treasury Liquidity and Funding Management

Final date to receive applications: 07/18/2026 Address: 100 King Street West

If you are passionate about banking and eager to dive deep into data, this role is a rare opportunity. It’s one of the few positions where you can work with data across every product in the bank; giving you unmatched exposure to how all parts of the business operate. You will work hands‑on with large, complex datasets, build technical strength in tools like PySpark, Python & AWS, and learn directly from senior team members who are experts in their field.

If you want to understand how a bank truly moves, grows, and functions through its data, this team offers incredible learning, mentorship, and career‑shaping experience.

• Plays an active role in the futuristic display of data, and advancement of innovative data strategies to understand consumer trends and address business problems.
• Leads/participates in the design, implementation and management of new analytics & reporting solutions.
• Designs, develops, and implements calculators and models for liquidity risk measures with innovative analytical solutions.
• Designs and produces regular and ad-hoc reports, and dashboards.
• Structures and assembles data into multi-dimensions with various granularities (e.g., customers, products, transactions, financial instruments).
• Monitors and tracks tool performance, user acceptance testing, and addresses any issues.
• Uses data mining and extracting usable data from valuable data sources to assess feasibility of AI/ML solutions for improve 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.
• Fosters a culture aligned to BMO purpose, values and strategy and role models BMO values and behaviours in all that they do.
• Ensures alignment between values and behaviour that fosters diversity and inclusion.
• Regularly connects work to BMO’s purpose, sets inspirational goals, defines clear expected outcomes, and ensures clear accountability for follow through.
• Builds interdependent teams that collaborate across functional and operating groups to create the highest value for all stakeholders.
• Attracts, retains, and enables the career development of top talent.
• Improves team performance, recognizes and rewards performance, coaches employees, supports their development, and manages poor performance.
• 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.

• 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.

Salary: $82,800.00 - $

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…