100 King Street West Toronto Ontario,M5X 1A1
As a Sr. Analyst, Business Intelligence in the Financial Crimes Unit, you’ll do more than analyze data — you’ll help protect our customers, strengthen trust, and shape the future of financial crime prevention. This is your chance to bring innovation, storytelling, and technical expertise together to create powerful insights that drive smarter, faster, and more proactive decisions.
You will elevate how we use data to identify, visualize, and communicate financial crimes risks. You will play a key role in the business intelligence and providing thoughtful analysis as well as lead the design and delivery of storyboards and visualization that provide insights to manage risks. You will help the Financial Crimes Unit make smarter and faster prevention and detection decisions while enabling the business to grow.
As our Sr. Analyst, you won’t just be interpreting data — you’ll be shaping how we prevent crime, detect risk, and protect our customers and institution. You will play a role in transforming of our analytics ecosystem, designing strategies and solutions that empower smarter, faster, and more proactive decisions.
It’s a chance to be at the forefront of how data drives security, strategy, and growth.

On this team, you will:

• Be a game-changer in security and risk management – Your work will directly influence how we prevent fraud, detect risk, and safeguard our institution and customers.
• Work at the cutting edge of innovation – Partner with experts in Insights & Innovation, Data Architecture, Integrated Analytics, Strategy & Change Management, Technology Security, and Security Services to design and deliver forward-thinking solutions.
• Turn complexity into clarity – Elevate business intelligence through dashboards and visualizations that bring risks to life for leaders across the bank.
• Grow in a high-impact, high-visibility role – As part of an innovation-driven team, your ideas and expertise won’t just be implemented — they’ll set the standard for how we leverage data in fraud and financial crimes.
• Collaborate with purpose – Join a mission-driven team that’s passionate about protecting customers while enabling the business to grow securely.

This isn’t just another analytics role — it’s a chance to shape the analytics ecosystem of the future, work alongside top innovators in financial crime prevention, and use your skills to make an impact that truly matters.

QUALIFICATIONS:

Intermediate level of proficiency:

• Technical design optimization.
• Decision Making.
• Systems Thinking.

Advanced level of proficiency:

• Data visualization.
• Data storytelling.
• Data mining.
• Illustration.
• Creative thinking.
• Problem Solving.
• Insights design.
• Insights development and reporting.
• 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.

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

Skills:

• 7+ years of experience within Data Analysis and Business Intelligence
• Strong experience in partnering with business stakeholders to understand the problem and identify enhancement opportunities using data.
• 5+ years of experience with SQL and/or SAS programming to extract, transform, and clean large data sets.
• Knowledge in Data Science languages like Python, Random Forest is a plus
• Strong understanding technical design– able to dive into the business process to understand the current vs. future state
• 5+ years of expertise in Data Management – data extraction, cleaning, and transformation
• 5+ years of expertise data analytics techniques
• 5+ years of expertise data flows, systems.
• 5+ years of expertise data design

Skills:

• 7+ years of experience within Data Analysis and Business Intelligence
• Strong experience in partnering with business stakeholders to understand the problem and identify enhancement opportunities using data.
• 5+ years of experience with SQL and/or SAS programming to extract, transform, and clean large data sets.
• Knowledge in Data Science languages like Python, Random Forest is a plus
• Strong understanding technical design– able to dive into the business process to understand the current vs. future state
• 5+ years of expertise in Data Management – data extraction, cleaning, and transformation
• 5+ years of expertise data analytics techniques
• 5+ years of expertise data flows, systems.
• 5+ years of expertise data designs

TOP/MAIN Responsibilities:

• Designs dashboards and analyses to be performed, and appropriate visualization and analytics tools to use. Identifies trends and patterns to address identified business questions and provide insights through reporting and data visualization techniques.
• Builds various reporting dashboards using the most appropriate data extraction, data cleaning and data visualisation techniques.
• Provides value through insights, reporting and data visualization techniques. Selects, configures and implements analytics solutions for consistency and repeatability.
• Researches and applies continuous improvement in data visualization by identifying trends and patterns to transform raw data into actionable business insights.
• Works with different teams, management and stakeholders to enhance the usability and aesthetic appeal of data analytics solutions deployed in the organization.
• Translates business needs to technical specifications and evaluates existing data visualization systems in order to improve them.
• Documents data flow, systems and processes to improve the design, implementation and management of business/group processes.
• Develops tools and delivers training programs for use of reporting tools and self-serve analytics by non-analytical end users; may include delivery of training to audiences.

Additional Details:

Understands and articulates the business case of business questions and the estimated value being delivered. Designs dashboards and analyses to be performed, and appropriate visualization and analytics tools to use. Identifies trends and patterns to address identified business questions and provide insights through reporting and data visualization techniques. Works with other data and analytics professionals to optimize, refine, automate and scale analysis into repeatable analytics solutions and decision support tools.

• Builds various reporting dashboards using the most appropriate data extraction, data cleaning and data visualisation techniques.
• Provides value through insights, reporting and data visualization techniques. Selects, configures and implements analytics solutions for consistency and repeatability.
• Researches and applies continuous improvement in data visualization by identifying trends and patterns to transform raw data into actionable business insights.
• Works with different teams, management and stakeholders to enhance the usability and aesthetic appeal of data analytics solutions deployed in the organization.
• Translates business needs to technical specifications and evaluates existing data visualization systems in order to improve them.
• Develops data visualizations of “large” amounts of data that facilitate the intuitive presentation of data to decision makers.
• Documents data flow, systems and processes to improve the design, implementation and management of business/group processes.
• Develops tools and delivers training programs for use of reporting tools and self-serve analytics by non-analytical end users; may include delivery of training to audiences.
• 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.