Sr Specialist, Fraud Data Science

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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:

• Performs data analytics related to recent fraud trends; leverage advanced analytics to create algorithms to prevent and detect banking fraud

• Responds 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

• Manages rules related to Canadian EFT transactions in IBM Safer Payments system.

• Operates at a group/enterprise-wide level and serves as a specialist resource to senior leaders and stakeholders.

• Uses analysis to provide recommendations and advice for business leaders to maintain market competitiveness. This includes creating professional level PowerPoint presentations shared with executives and other stakeholders in periodic business meetings

• 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.

Other responsibilities may include:

• Uses advanced analytical algorithms and technologies (e.g. machine learning, deep learning, artificial intelligence) to mine and analyze large sets of structured and unstructured data to obtain insights. Designs and constructs new processes for modeling data.

• Develops predictive models and leverages big data technology to design solutions that deliver smarter business decisions, improve customer experience, and drive productivity.

• Investigates additional technologies and tools for developing innovative data solutions for business stakeholders

• Collaborates 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(Will consider exceptional candidates with strong Python skills who are 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 other quantitative disciplines and/or equivalent experience.
• Strong verbal & written communication skills
• Tech savviness with the ability to learn new tools and technologies quickly and apply them to solve complex data problems
• Expertise with MS Power Point and strong data visualization, influencing, and story-telling skills
• Analytical and problem-solving skills with a strong critical thinking ability
• Effective collaboration & team skills with a focus on cross-group collaboration.
• Ability to manage ambiguity

***This is a HYBRID role***

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.