Application Deadline: 11/13/2025

Address: 33 Dundas Street West

Job Family Group: Data Analytics & Reporting

Are you ready to drive cutting-edge analytics and shape the future of decision-making within a leading financial institution? Join BMO’s dynamic Decision Science team, where you'll play a pivotal role in developing and managing models that directly impact customer experiences, from loan approvals to portfolio management decisions.

Key Responsibilities:

• Lead in building adjudication and account management models that inform loan approvals, credit decisions, and portfolio management for millions of customers.

• Collaborate closely with business stakeholders to deliver analytical solutions that enhance customer experience and optimize credit risk strategies.

• Utilize your expertise to build, maintain, and continuously improve models that are foundational to our credit underwriting processes and portfolio strategies.

• Provide strategic guidance and mentorship to team members, including managing direct reports and external resources.

What We’re Looking For:

• 5+ years of experience in credit modeling and portfolio management within the banking or financial services industry.

• Strong technical skills in statistical modeling, risk management, or regulatory modeling.

• A master’s degree in a mathematical field such as statistics, mathematics, computer science, or a related discipline.

• A proven track record of leading projects and delivering impactful solutions in a fast-paced environment.

• Excellent communication and soft skills to effectively engage with stakeholders across different functions.

Location:

• This position is located in Toronto and offers a hybrid work model with 3-4 days in the office

If you’re looking for your next dream job, consider this one in BMO’s Enterprise Risk Group where every colleague helps protect and grow the bank by providing independent review and oversight of enterprise-wide risks, working together to maintain a risk management framework and fostering a strong risk culture. #ERPMDreamJobs

Applies mathematical and statistical methods to financial and risk management problems (e.g. internal controls; enterprise-wide stress testing and scenario analysis; capital modelling; valuations). Through quantitative analytical modelling, identifies important factors to consider for financial disaster and recovery plans. Conducts research and creates tools that use data to develop scenario-based planning and implements complex mathematical models to help the business make better financial and financial decisions (e.g. investments, pricing, etc.), drive innovation and minimize the impact of uncertainty.

• Develops pricing and quantitative risk models for an assigned portfolio e.g. fixed income, corporate credit and loans.
• Monitors risk in strategies and portfolios alongside project managers or functional leads.
• Conducts research and develops tools that use data to make better financial decisions; such as: investments, pricing, etc.
• Applies knowledge of risk assessment and controls along with extensive understanding of industry compliance standards and regulations.
• Identifies ways of mitigating potential risks; recommends and implements solutions based on analysis of issues and implications for the business.
• Documents data flow, systems and processes to improve the design, implementation and management of business/group processes.
• Conducts quantitative research in risks across strategies and portfolios.
• Operates at a group/enterprise-wide level and serves as a specialist resource to senior leaders and stakeholders.
• Applies expertise and thinks creatively to address unique or ambiguous situations and to find solutions to problems that can be complex and non-routine.
• Implements changes in response to shifting trends.
• Broader work or accountabilities may be assigned as needed.

Qualifications:

Intermediate level of proficiency:

• Regulatory capital and stress testing.
• Compliance and regulation.
• Machine learning.
• Learning Agility.
• Systems Thinking.

Advanced level of proficiency:

• Model risk management.
• Data visualization.
• Data wrangling.
• Data preprocessing.
• Critical thinking.
• Driving Results.
• Quantitative financial modeling.
• Computational thinking and programming.
• Verbal & written communication skills.
• Analytical and problem solving skills.
• Collaboration & team skills; with a focus on cross-group collaboration.
• Able to manage ambiguity.
• Data driven decision making.
• Typically 7+ years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.
• Seasoned professional with a combination of education, experience and industry knowledge.
• Data driven decision making - In-depth / Expert.