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Bank of Montreal

Sr Specialist, Fraud Data Science

Posted 2 Days Ago
Be an Early Applicant
8 Locations
120K-223K Annually
Senior level
8 Locations
120K-223K Annually
Senior level
The Sr Specialist in Fraud Data Science develops analytics to prevent banking fraud, responds to data requests, and drives strategic decisions using advanced analytics and machine learning.
The summary above was generated by AI

Application Deadline:

07/03/2025

Address:

301 McCullogh Drive Suite 400

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:

  • 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:

  • Strong knowledge of Banking Fraud
  • Advanced degree (Ph.D. preferred) in Computer Science, Mathematics, Physics, Engineering, Statistics, or other quantitative disciplines and/or equivalent experience.
  • 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
  • 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 with 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***

Salary:

$120,000.00 - $222,600.00

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 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 http://jobs.bmo.com/us/en

BMO is proud to be an equal employment opportunity employer. We evaluate applicants without regard to race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or any other legally protected characteristics. We also consider applicants with criminal histories, consistent with applicable federal, state and local law.

BMO is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please send an e-mail to [email protected] and let us know the nature of your request and your contact information.

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.

Top Skills

Artificial Intelligence
Big Data Technology
Deep Learning
Machine Learning
Ms Power Point
Python
SAS
SQL

Bank of Montreal Chicago, Illinois, USA Office

111 W Monroe St, Chicago, IL, United States, 60603

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