Application Deadline: 05/30/2026 Address: 100 King Street West Job Family Group: Data Analytics & Reporting Join a team at the forefront of fraud prevention, where your expertise in data science directly safeguards millions of customers.

As a Senior Specialist, AI, ML & Data Science, you will operate at the intersection of advanced analytics and realworld impactdeveloping analytical solutions for current and emerging fraud patterns while driving strategic decisionmaking across the enterprise.

Your voice will influence senior leadership, your insights will guide operational action, and your creativity will be essential to solving complex and ambiguous problems.

If you thrive in highstakes environments and want your work to make a meaningful difference every daythis is your opportunity. ***Please note this role is HYBRID (at least 2-3 days/week in the downtown office)*** Key Responsibilities: Leverages advanced analytical methodologies and technologiesincluding machine learning, deep learning, artificial intelligence, and graphbased analyticsto mine and interpret large volumes of structured and unstructured data.

Generates actionable insights, strategic recommendations, and decisionsupport materials that enable business leaders to enhance performance and maintain competitive advantage.

Also develops executivelevel Power

Point presentations that clearly communicate analytical findings and business impacts to senior leadership and key stakeholders during periodic business reviews.

Responds promptly to analytics requests from business partners and stakeholders, which may involve creating datasets, performing complex data analyses, developing automated solutions, and producing reports.

Operates at a group- and enterprisewide level, serving as a specialist resource to senior leaders and key stakeholders.

Applies deep expertise and creative problemsolving to address unique or ambiguous situations and resolve complex, nonroutine challenges.

Implements enhancements and process changes in response to evolving business needs, emerging risks, and shifting market or industry trends.

Researches and evaluates emerging technologies, tools, and methodologies to develop innovative data and analytics solutions for business partners.

Collaborates with data and analytics professionals and crossfunctional teams to optimize, refine, and scale analytical work into robust, enterpriseready solutions.

Performs additional responsibilities or broader accountabilities as required.

Key Skills and Education: 5+ years of data science experience using Python and SQL,



with strong proficiency in designing and deploying productiongrade machine learning and AI solutions , including up-to-date AI and agentic AI systems.

Experience in financial services, banking, or other regulated industries is preferred but not required.

Familiarity with (or interest in) graph analytics and graph data modeling , including an understanding of how relationshipbased techniques can be used to detect complex patterns, uncover hidden networks, and enhance fraud detection.

Candidates with foundational exposure (academic, professional, or selfguided) or a strong desire to learn and grow in this area are encouraged to apply .

Consulting and advisory expertise , with the ability to translate complex analytical concepts into practical business recommendations and guide stakeholders through datadriven decisionmaking and solution adoption.

Clear, concise communication skills, capable of tailoring complex technical content to diverse audiences and ensuring alignment across technical and business stakeholders.

Advanced Power

Point and datavisualization capabilities, with strong executive storytelling skills used to craft compelling presentations that influence senior leadership and communicate analytical insights effectively.

Highly techsavvy , with the ability to quickly learn and apply new tools, technologies, and methodologies to solve complex data challenges.

Strong analytical, problemsolving, and criticalthinking skills , with the ability to approach ambiguous or novel situations creatively and effectively.

Effective collaboration and teamwork , with a focus on crossfunctional and crossgroup partnership to drive enterpriselevel outcomes.

Proven ability to operate in environments with high ambiguity , adapting to evolving priorities, emerging risks, and complex organizational needs.

Advanced degree (Ph.D. preferred) in Computer Science, Mathematics, Physics, Engineering, Statistics, or another quantitative discipline, or equivalent professional experience.

Clear, concise communication skills, capable of tailoring complex technical content to diverse audiences and ensuring alignment across technical and business stakeholders.

Consulting/influencing skills:



Ability to translate complex analytical concepts into practical business recommendations and guide stakeholders through datadriven decisionmaking and solution adoption Proven ability to operate in environments with high ambiguity, self starter Salary : $103,200.00 - $192,000.00 Pay Type: Salaried The above represents BMO Financial Groups 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 Groups expected target for the first year in this position. BMO Financial Groups 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: About Us At BMO we are driven by a shared Purpose: Boldly Grow the Valuable 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.

Well 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, well help you gain valuable experience, and broaden your skillset.

To find out more visit us at . BMO is committed to an inclusive, equitable and accessible workplace.

By learning from each others 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.

📌 Sr. Data Scientist –Financial Crimes and Fraud (Toronto)
🏢 BMO
📍 Toronto