Sr. Data Scientist –Financial Crimes and Fraud

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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 real‑world impact—developing analytical solutions for current and emerging fraud patterns while driving strategic decision‑making 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 high‑stakes environments and want your work to make a meaningful difference every day—this 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 technologies—including machine learning, deep learning, artificial intelligence, and graph‑based analytics—to mine and interpret large volumes of structured and unstructured data.

• Generates actionable insights, strategic recommendations, and decision‑support materials that enable business leaders to enhance performance and maintain competitive advantage. Also develops executive‑level PowerPoint 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 enterprise‑wide level, serving as a specialist resource to senior leaders and key stakeholders.

• Applies deep expertise and creative problem‑solving to address unique or ambiguous situations and resolve complex, non‑routine 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 cross‑functional teams to optimize, refine, and scale analytical work into robust, enterprise‑ready 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 production‑grade machine learning and AI solutions, including modern 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 relationship‑based techniques can be used to detect complex patterns, uncover hidden networks, and enhance fraud detection. Candidates with foundational exposure (academic, professional, or self‑guided) 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 data‑driven decision‑making 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 PowerPoint and data‑visualization capabilities, with strong executive storytelling skills used to craft compelling presentations that influence senior leadership and communicate analytical insights effectively.

• Highly tech‑savvy, with the ability to quickly learn and apply new tools, technologies, and methodologies to solve complex data challenges.

• Strong analytical, problem‑solving, and critical‑thinking skills, with the ability to approach ambiguous or novel situations creatively and effectively.

• Effective collaboration and teamwork, with a focus on cross‑functional and cross‑group partnership to drive enterprise‑level 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 data‑driven decision‑making and solution adoption

• Proven ability to operate in environments with high ambiguity, self starter

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.