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Added 21 hours ago
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BMO

Senior Analyst Data Analytics

Toronto, ON, Canada
FCP, Canada

$70,000.00 - $150,000.00 · Full-time

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Job details

Pay: $70,000.00 - $150,000.00
Job type: Full-time
Apply by: Nov 27, 2026
Experience: Typically 7+ years of relevant experience and a Masters degree in related field of study, or an equivalent combination of Bachelor’s degree and extensive related experience.
Posting language: English
Posted: Nov 6, 2026

Original job description

Application Deadline:

12/10/2026

Address:

100 King Street West

Job Family Group:

Data Analytics & Reporting

As a Senior Analyst, Data Analytics, you'll play a key role in advancing investigative and detection capabilities within a highly visible team focused on protecting the organization and its clients. This is an opportunity to combine your passion for data, analytics and problem-solving to deliver meaningful insights that support complex investigations and drive proactive risk detection.

In this role, you'll leverage Python, SQL, data visualization and automation to transform large and complex datasets into actionable intelligence. You'll develop analytics solutions, operational dashboards, and reporting that empower investigators to uncover trends, identify emerging risks, and make informed decisions. You'll also collaborate closely with technology and AI partners to help shape innovative solutions, including next-generation AI-enabled tools and automation capabilities.

We're looking for someone who is naturally curious, highly motivated, and excited by the opportunity to tackle diverse challenges. Whether you're building analytics, enhancing processes, or exploring new technologies, you'll have the chance to make a measurable impact while growing your technical and business expertise in a dynamic, forward-looking environment.

If you're passionate about data, innovation and solving meaningful business problems, we'd love to hear from you.

The role is based in Toronto and operates in a hybrid model (3 days in office).

Performs sophisticated data analytics to explore and identify known or previously unidentified criminal behaviours among customer and employee groups across BMO. Supports investigations against people or property of BMO by providing key data or supporting the investigative process. Applies knowledge of analytics algorithms and technologies to develop analytic solutions and support decision making. Develops and implements the strategies for technology as related to business requirements. Acts as a subject matter expert on BMO data and data modelling for criminal risk mitigation to guide management programs and investigation activities. Drives innovation through the development of data products, establishes best practices and influences data governance guidelines and policies.

Recommends and implements solutions based on analysis of issues and implications for the business.
Assists in the development of strategic plans.
Identifies emerging issues and trends to inform decision-making.
Ensures alignment between analytics, business and technical sides of strategies to improve performance and effectiveness.
Conducts independent analysis and assessment to resolve strategic issues.
Engages technical support and other business/groups to support the implementation and sustainment of change management projects and processes.
Makes key decisions and recommendations for identifying and prioritizing new/existing data acquisition and/or quality mitigation requirements.
Understands and analyzes complex business problems then formulates data-driven hypotheses to drive business value.
Provides input into the planning and implementation of operational programs.
Integrates information from multiple sources to enable more efficient processes, enhanced analysis and/or streamlined reporting.
Reviews the program for effectiveness, considers industry trends and recommends enhancements; makes changes as required.
Ensures an understanding of inherent risks in the business/group and oversees appropriate actions to ensure operational integrity is maintained.
Identifies and understands new and emerging patterns of fraud, both external and internal.
Identifies and acquires appropriate data for fraud analysis based on knowledge of BMO product, data warehouse systems and architectural linkages.
Develops complex technical rules/ scenarios to maximize the effectiveness of fraud detection and prevention programs.
Applies statistical, data mining and pattern analysis techniques to determine relationships between transactions, customer data and known/predicted fraudulent behaviours.
Summarizes statistical findings, draws conclusions and presents actionable business recommendations.
Conducts programming as required for data mining mainframe jobs and develops detection rules/ scenarios or automated reports for Investigator use.
Develops and maintains models and metrics, scenarios, profiles and parameters used to improve the efficiency of fraud detection systems.
Manages risk and minimizes losses through monitoring, controlling, audits and verifications in accordance with compliance requirements, policies, procedures and regulations.
Provides leadership and oversight on the identification, analysis and resolution of issues, recommending appropriate courses of action and creating solutions.
Supports development and execution of strategic initiatives in collaboration with stakeholders.
Leads/participates in the design, implementation and management of core business/group processes.
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:
Typically 7+ years of relevant experience and a Masters degree in related field of study, or an equivalent combination of Bachelor’s degree and extensive related experience.
In depth technical development skill and knowledge.
In-depth knowledge of Financial Crimes including current fraud modalities, techniques, behaviours.
In-depth knowledge of Statistical Analyses and Human Behaviour Modeling.
In-depth knowledge of Data Mining Tools.
Deep knowledge and technical proficiency gained through extensive education and business experience.
Verbal & written communication skills - In-depth.
Collaboration & team skills - In-depth.
Analytical and problem solving skills - In-depth.
Influence skills - In-depth.
Data driven decision making - In-depth.

Salary:

$70,000.00 - $150,000.00

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.

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More about this job

Responsibilities

The Senior Analyst will develop and implement advanced analytics solutions, dashboards, and automated reporting to detect fraud and mitigate criminal risk. They will collaborate with technology and AI partners to transform complex datasets into actionable intelligence that supports investigative processes.

Requirements

Candidates typically require 7+ years of relevant experience and a Master's degree in a related field, or an equivalent combination of a Bachelor's degree and extensive experience. Strong technical proficiency in data mining, statistical analysis, and financial crime detection is essential.

Skills

Python
SQL
Data visualization
Automation
Data analytics
Fraud detection
Data mining
Statistical analysis
Human behaviour modeling
Risk management
Data modeling
Problem solving
Communication
Collaboration
Strategic planning
Financial crimes knowledge

Benefits

Health insurance
Tuition reimbursement
Accident insurance
Life insurance
Retirement savings plans

Visa sponsorship

Not detected in the job text

Keywords

Data Analytics
Python
SQL
Automation
Fraud Detection
Risk Management
Data Mining
Statistical Analysis
Human Behaviour Modeling
Financial Crimes
Data Visualization
Mainframe
Data Governance
Artificial Intelligence
Business Intelligence
Risk Appetite
Compliance
Data Modeling
Strategic Planning
Predictive Modeling
Pattern Analysis
Operational Dashboards
Actionable Intelligence
Change Management
Data Acquisition
Risk Culture
Banking
Investigation
Data Products
Technical Development

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