55 Bloor Street West
Job Family Group:
Data Analytics & Reporting
The Financial Crimes Unit (FCU) brings together our Cybersecurity, Fraud and Physical Security capabilities to address the ever-growing and increasingly complex global security environment. It is a highly collaborative effort that greatly enhances BMO’s ability to rapidly prevent, detect, respond to, and recover from all security threats. This position offers a unique experience to learn from experienced leaders in the industry, join a team building the 21st century model for security and helping grow the good by protecting our customers and communities.
BMO is looking for a Manager, Fraud Analytics Banking to join our growing Financial Crimes Unit team in our Midwest offices! This global team supports our fraud operating and strategy counterparts to improve our fraud strategy overall. In the foreseeable future, we get the opportunity to be part of a growing mandate at the bank. Come join our team, we need help from you to bring our vision to life.
The successful candidate will have prior fraud experience within the financial services industry with deep understanding of deposit/banking fraud (e.g. checks, kiting, ATM, electronic money transfers, etc) coupled with passion for data and strong problem solving and analytical background leveraging SAS, SQL or Python/R . This role is responsible for conducting data exploration, manipulation and delivering portfolio/channel/product insights by employing advanced analytics to design and continuously enhance our fraud strategies to deliver better predictions and/or intelligent automation that enable smarter business decisions, improved customer experience, and drive productivity for our business. Independent and results oriented individual with strong communication and story-telling skills to summarize statistical/algorithmic findings to draw business conclusions, and present actionable insight in a way that resonates with business/groups.
Performs sophisticated data analytics to explore and identify known or previously unidentified criminal behaviours among customer and employee groups across BMO. Supports investigations against people or property of BMO by providing key data or supporting the investigative process. Applies knowledge of analytics algorithms and technologies to develop analytic solutions and support decision making. Develops and implements the strategies for technology as related to business requirements. Acts as a subject matter expert on BMO data and data modelling for criminal risk mitigation to guide management programs and investigation activities. Drives innovation through the development of data products, establishes best practices and influences data governance guidelines and policies.
Recommends and implements solutions based on analysis of issues and implications for the business.
Assists in the development of strategic plans.
Identifies emerging issues and trends to inform decision-making.
Ensures alignment between analytics, business and technical sides of strategies to improve performance and effectiveness.
Conducts independent analysis and assessment to resolve strategic issues.
Engages technical support and other business/groups to support the implementation and sustainment of change management projects and processes.
Makes key decisions and recommendations for identifying and prioritizing new/existing data acquisition and/or quality mitigation requirements.
Understands and analyzes complex business problems then formulates data-driven hypotheses to drive business value.
Provides input into the planning and implementation of operational programs.
Integrates information from multiple sources to enable more efficient processes, enhanced analysis and/or streamlined reporting.
Reviews the program for effectiveness, considers industry trends and recommends enhancements; makes changes as required.
Ensures an understanding of inherent risks in the business/group and oversees appropriate actions to ensure operational integrity is maintained.
Identifies and understands new and emerging patterns of fraud, both external and internal.
Identifies and acquires appropriate data for fraud analysis based on knowledge of BMO product, data warehouse systems and architectural linkages.
Develops complex technical rules/ scenarios to maximize the effectiveness of fraud detection and prevention programs.
Applies statistical, data mining and pattern analysis techniques to determine relationships between transactions, customer data and known/predicted fraudulent behaviours.
Summarizes statistical findings, draws conclusions and presents actionable business recommendations.
Conducts programming as required for data mining mainframe jobs and develops detection rules/ scenarios or automated reports for Investigator use.
Develops and maintains models and metrics, scenarios, profiles and parameters used to improve the efficiency of fraud detection systems.
Manages risk and minimizes losses through monitoring, controlling, audits and verifications in accordance with compliance requirements, policies, procedures and regulations.
Provides leadership and oversight on the identification, analysis and resolution of issues, recommending appropriate courses of action and creating solutions.
Supports development and execution of strategic initiatives in collaboration with stakeholders.
Leads/participates in the design, implementation and management of core business/group processes.
Focus is primarily on business/group within BMO; may have broader, enterprise-wide focus.
Provides specialized consulting, analytical and technical support.
Exercises judgment to identify, diagnose, and solve problems within given rules.
Works independently and regularly handles non-routine situations.
Broader work or accountabilities may be assigned as needed.
Typically 7+ years of relevant experience and a Masters degree in related field of study, or an equivalent combination of Bachelor’s degree and extensive related experience.
In depth technical development skill and knowledge.
In-depth knowledge of Financial Crimes including current fraud modalities, techniques, behaviours.
In-depth knowledge of Statistical Analyses and Human Behaviour Modeling.
In-depth knowledge of Data Mining Tools.
Deep knowledge and technical proficiency gained through extensive education and business experience.
Verbal & written communication skills - In-depth.
Collaboration & team skills - In-depth.
Analytical and problem solving skills - In-depth.
Influence skills - In-depth.
Data driven decision making - In-depth.
We’re here to help
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://bmocareers.com .
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.