Sr Specialist, Fraud Data Science

Bank of Montreal; Toronto; Hybrid; CAD 100,000 - 188,000; Full time

Job summary

An established industry player seeks a Senior Specialist in Fraud Data Science to join their innovative team. In this hybrid role, you will leverage your expertise in data analytics to safeguard millions of customers against fraud. Your insights will drive strategic decision-making and influence senior leadership, making a real-world impact every day. Collaborate with talented professionals to develop predictive models and utilize advanced analytics to tackle complex challenges. If you thrive in high-stakes environments and want your work to matter, this is your chance to shine.

Benefits

Health Insurance

Tuition Reimbursement

Accident Insurance

Life Insurance

Retirement Plans

Performance Incentives

Bonuses

Qualifications

• 7+ years of experience with SAS and Python; strong SQL skills required.
• 5+ years of experience in statistical analysis and machine learning model development.

Responsibilities

• Perform data analytics related to recent fraud trends and create algorithms to prevent banking fraud.
• Respond to analytics requests and develop automated solutions for fraud detection.

Skills

SAS

Python

SQL

Statistical Analysis

Machine Learning

Data Visualization

Communication Skills

Problem-Solving

Education

Ph.D. in Computer Science, Mathematics, Physics, Engineering, or Statistics

Equivalent Experience in Quantitative Disciplines

Tools

IBM Safer Payments

MS PowerPoint

Job description

Application Deadline:

07/03/2025

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 analytics directly safeguards millions of customers. As a Senior Specialist, Fraud Data Science, you’ll operate at the intersection of advanced analytics and real-world impact—developing data analytics for current and evolving fraud patterns, and driving strategic decision-making across the enterprise. Here, 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 matter every day—this is your opportunity.

Key Responsibilities:

1. Perform data analytics related to recent fraud trends; leverage advanced analytics to create algorithms to prevent and detect banking fraud.
2. Respond quickly to analytics requests from Fraud Strategy and Operations, Fraud Intake & Investigations, and other stakeholders, which might involve creating datasets, performing complex data analyses, developing automated solutions, and generating reports.
3. Manage rules related to Canadian EFT transactions in IBM Safer Payments system.
4. Operate at a group/enterprise-wide level and serve as a specialist resource to senior leaders and stakeholders.
5. Use analysis to provide recommendations and advice for business leaders to maintain market competitiveness, including creating professional PowerPoint presentations for executive and stakeholder meetings.
6. Apply expertise and think creatively to address unique or ambiguous situations and find solutions to complex, non-routine problems.
7. Implement changes in response to shifting trends.
8. Broader work or accountabilities may be assigned as needed.

Other responsibilities may include:

1. Use advanced analytical algorithms and technologies (e.g., machine learning, deep learning, AI) to mine and analyze large structured and unstructured data sets to obtain insights. Design and construct new processes for modeling data.
2. Develop predictive models and leverage big data technology to design solutions that improve decision-making, customer experience, and productivity.
3. Investigate additional technologies and tools for developing innovative data solutions for business stakeholders.
4. Collaborate with other data and analytics professionals and teams to optimize, refine, and scale analysis into mature analytics solutions.

Key Skills and Education:

• Strong knowledge of Banking Fraud.
• 7+ years of experience with SAS and Python. Very strong SQL skills are required (consideration given to exceptional candidates with strong Python skills willing to learn SAS).
• 5+ years of experience with statistical analysis and machine learning model development.
• Advanced degree (Ph.D. preferred) in Computer Science, Mathematics, Physics, Engineering, Statistics, or related quantitative disciplines, or equivalent experience.
• Strong verbal and written communication skills.
• Tech savviness with the ability to learn new tools and technologies quickly and apply them to complex data problems.
• Expertise with MS PowerPoint and strong data visualization, influencing, and storytelling skills.
• Analytical and problem-solving skills with critical thinking ability.
• Effective collaboration and team skills with a focus on cross-group cooperation.
• Ability to manage ambiguity.

This is a HYBRID role.

Salary:

$100,800.00 - $187,200.00

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 hours worked. For commission roles, the listed salary is the expected target for the first year.

BMO’s total compensation may include performance incentives, bonuses, and other perks. Benefits include health insurance, tuition reimbursement, accident and life insurance, and retirement plans. More info at https://jobs.bmo.com/global/en/Total-Rewards.

About Us:

At BMO, our purpose is to create lasting, positive change for customers, communities, and our people. We support your growth and impact from day one, providing training, coaching, and resources to help you succeed. Visit us at https://jobs.bmo.com/ca/en.

BMO is committed to an inclusive, equitable, and accessible workplace. Accommodations are available upon request during the hiring process. To request accommodations, contact your recruiter.

Note to Recruiters: BMO does not accept unsolicited resumes unless directly from candidates. Resumes sent unsolicited will be considered BMO property. Agencies must have a valid contract to submit resumes.