FRTB Technical Business Analyst, Market Risk

Application Deadline: Address: 250 Yonge Street Job Family Group: Data Analytics & Reporting 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. 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: Foundational level of proficiency: Regulatory capital and stress testing. Compliance and regulation. Machine learning. Learning Agility. Systems Thinking. Intermediate level of proficiency: Model risk management. Data visualization. Data wrangling. Data preprocessing. Critical thinking. Driving Results. Verbal & written communication skills. Collaboration & team skills. Analytical and problem solving skills. Data driven decision making. Advanced level of proficiency: Quantitative financial modeling. Computational thinking and programming. 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: https://jobs.bmo.com/global/en/Total-Rewards About Us At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world. As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset. To find out more visit us at https://jobs.bmo.com/ca/en. BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter. Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

The role involves developing pricing and quantitative risk models for portfolios while applying mathematical methods to financial and risk management problems. You will conduct research, document data flows, and provide specialized analytical support to mitigate risks and improve business decision-making.

Candidates must possess 5 to 7 years of relevant experience and a post-secondary degree in a related field. Proficiency in quantitative financial modeling, regulatory capital, and machine learning is required, along with strong analytical and communication skills.

• Health insurance • Tuition reimbursement • Accident insurance • Life insurance • Retirement savings plans • Performance-based incentives • Discretionary bonuses

• Data visualizationPreferred
• Problem solvingPreferred
• Machine learningPreferred

Identified from the job description. Confirm important requirements above.

• Quantitative financial modeling
• Regulatory capital
• Stress testing
• Model risk management
• Data visualization
• Data wrangling
• Data preprocessing
• Machine learning
• Computational thinking
• Programming
• Risk assessment
• Compliance
• Critical thinking
• Analytical skills
• Problem solving
• Data driven decision making
• Model Risk Management
• Risk Modeling
• Financial Stress Testing
• Data Wrangling
• Computational Thinking
• Learning Agility
• Data Preprocessing
• Planning
• Data-Driven Decision Making
• Research
• Data Analysis
• Internal Controls
• Management
• Capital Requirements
• Investments
• Communication
• Consulting
• Bond Credit Rating
• Critical Thinking
• Dataflow
• Data Visualization
• Economic Growth
• Financial Modeling
• Fixed Income
• Group Dynamics
• Innovation
• Problem Solving
• Loans
• Risk Management
• Machine Learning
• Mathematics
• Mathematical Modeling
• Project Management
• Quantitative Research

• Finance & Accounting
• Data & Analytics
• Consulting
• Technology
• Technical Business Analyst
• Business Analyst (General)
• Management and Organization Analysts
• Management Analysts

Minimum education

Bachelor’s degree

Minimum experience

5+ years

Apply by

Nov 2, 2026

Posting language

English

Working hours

40 hours per week