Manager, Fraud Analytics - Banking Manager, Fraud Analytics - Banking …

Bank of Montreal
in Toronto, ON, Canada
Permanent, Full time
Be the first to apply
Competitive
Bank of Montreal
in Toronto, ON, Canada
Permanent, Full time
Be the first to apply
Competitive
Manager, Fraud Analytics - Banking
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.






Applies knowledge of advanced analytics algorithms and technologies (e.g. machine learning, deep learning, artificial intelligence) to deliver better predictions and/or intelligent automation that enable smarter business decisions, improved customer experience and drive productivity for our business. 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. Drives innovation through the development of Data & AI products that can be leveraged across the organization and establishes best practices in in alignment with Data & AI governance frameworks of BMO.
  • Acts as a trusted advisor to assigned business/group.
  • Influences and negotiates to achieve business objectives.
  • 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.
  • Understands and analyzes complex business problem, then formulates data-driven hypotheses to drive business value.
  • Builds effective relationships with internal/external stakeholders.
  • Ensures alignment between stakeholders.
  • Supports data collection, integration, and retention requirements for data.
  • Develops experimental design approaches to validate findings or test hypotheses.
  • Defines innovative data solutions to loosely defined business problems by leveraging pattern detection over potentially large datasets.
  • Diagnoses and resolves predictive / analytical model performance issues while monitoring system performance and implementation of efficiency improvements.
  • Applies innovative and best practices to advanced analytics services to ensure high quality standards.
  • Sets up change control and testing processes to ensure the quality and consistency of ongoing maintenance work.
  • Develops analytical solutions and makes recommendations based on an understanding of the business strategy and stakeholder needs.
  • Provides advice and guidance to assigned business/group on implementation of analytical solutions.
  • Works with stakeholders to identify the business requirements, understand the distinct problems, and the expected outcome and models and frames business scenarios which impact critical business processes and/or decisions.
  • Works with various data owners to discover and select available data sources from internal sources and external vendors (e.g. lending system, payment system, external credit rating system, and alternative data) to fulfill analytical needs.
  • Applies scripting / programming skills to assemble various types of source data (unstructured, semi-structured, and structured) into well-prepared datasets with multiple levels of granularities (e.g., demographics, customers, products, transactions).
  • Develops agreed analytical solution by applying suitable statistical & machine learning techniques (e.g., A/B testing, prototype solutions, mathematical models, algorithms, machine learning, deep learning, artificial intelligence) to test, verify, refine hypotheses.
  • Summarizes statistical findings and draws conclusions and presents actionable business recommendations. Presents findings & recommendations in a simple, clear way to drive action.
  • Documents data flow, systems and processes in data collection to improve efficiency and apply use cases.
  • Performs experimental design approaches to validate finding or test hypotheses.
  • Uses the appropriate algorithms to discover patterns.
  • Builds effective relationships with internal/external stakeholders. Ensures alignment between stakeholders.
  • Supports development of tools and delivers training for data analytics and AI.
  • Supports development and execution of strategic initiatives in collaboration with internal and external 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.


Qualifications
Qualifications:
  • Typically between 5 - 7 years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.
  • Advanced degree (Ph.D. preferred) in Computer Science, Mathematics, Physics, Engineering, Statistics, or other quantitative disciplines and/or equivalent experience
  • Experience with distributed computing language (e.g. Hive / Hadoop/ Spark) & cloud technologies (e.g. AWS Sagemaker, AzureML).
  • Experience with programming languages (e.g. SQL, Python, R, SAS, SPSS, , Perl) and machine learning /deep learning algorithms/packages (e.g. XGBoost, H2O, SparkML).
  • Deep proficiency in statistical analysis, quantitative analytics, forecasting/predictive analytics, multivariate testing, and optimization algorithms.
  • 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 have a shared purpose; we put the customer at the centre of everything we do - helping people is in our DNA. For 200 years we have thought about the future-the future of our customers, our communities and our people. We help our customers and our communities by working together, innovating and pushing boundaries to bring them our very best every day. Together we're changing the way people think about a bank.

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.


Close
Loading...