Automated Decisioning Analyst

Automated Decisioning Analyst

Requirements

• Typically between 1-3 years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.
• Working / in-depth product knowledge for the designated business / portfolio.
• Working / in-depth knowledge of risk management theory, processes and portfolio management reporting techniques.
• Working / in-depth knowledge of modelling & analytics concepts and applications.
• Working / in-depth knowledge of risk systems technology.
• Technical proficiency gained through education and/or business experience.
• Verbal & written communication skills – In-depth.
• Collaboration & team skills – In-depth.
• Analytical and problem solving skills – In-depth.

Responsibilities

• Develops and maintains risk decision-support strategies using analytical solutions to enable high-quality, fact-based decisions for a designated risk portfolio.
• Supports the development of the strategy and roadmap for data quality, data analytics, data modeling, reporting, business intelligence, and the design and development of sophisticated decision support tools.
• Supports development and execution of strategic initiatives in collaboration with internal and external stakeholders.
• Breaks down strategic problems, and analyses data and information to provide insights and recommendations.
• Manages databases and provides support for analysis, forecasting and/or data visualization, ensuring adherence with data governance standards.
• Supports change management of varying scope and type; tasks typically focused on execution and sustainment activities.
• Acts as a resource for team members with less experience.
• Leads or assists with the maintenance, monitoring, measurement & reporting on the status of the risk decision strategies performance.
• Supports the development and maintenance of system and process documentation / process controls / knowledge assets required for the operation.
• Supports the maintenance, monitoring, measurement & reporting on the status of the risk decision strategies and key risk indicators to internal & external stakeholders.
• Develops and maintains risk strategies using analytics, predictive modelling and business rules to optimize decisions and productivity.
• Supports the planning and execution of the change management process including simulation, validation testing and reporting requirements to evaluate the effectiveness of the new or modified strategies.
• Provides advice and guidance to assigned business/group on implementation of analytical solutions.
• Develops and maintains in-depth knowledge of business product strategies and related risk management requirements and legislative/ regulatory directives.
• Works with stakeholders to identify the business requirements, understand the profitability structure, the risk / return assessment and the expected outcomes.
• Works with 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) to fulfill analytical needs.
• Works with internal and external stakeholders to understand the capabilities of risk models and core risk systems to ensure effectiveness of risk decision strategies.
• Builds effective relationships with internal/external stakeholders.
• Ensures alignment between stakeholders.
• Summarizes statistical findings and draws conclusions and presents actionable business recommendations.
• Presents findings & recommendations in a simple, clear way to drive action.
• Consults with stakeholders to improve consistency and transparency of risk measurement, metrics and reporting.
• Monitors and tracks performance; addresses any issues.
• Focus is primarily on business/group within BMO; may have broader, enterprise-wide focus.
• Exercises judgment to identify, diagnose, and solve problems within given rules.
• Works independently on a range of complex tasks, which may include unique situations. Broader work or accountabilities may be assigned as needed.

Preferred Qualifications

• Experience in Enterprise & Financial Risk Management and Statistical Modeling an asset.