Analyst, Commercial Risk Data (New or Recent Graduate Opportunity)

BMO•Toronto, ON

4d•CA$61,600 - CA$113,900•Onsite

About The Position

Designs, builds and operates ETL and pipeline development activities and modeling solutions that facilitate data storage, integration, management, data quality, validation and security, supporting the entire data asset lifecycle. Designs, implements and maintains data flow channels and data processing systems that support the collection, storage, batch and real-time processing, and analysis of information in a scalable, repeatable and secure manner. Manages corporate apps and data in the cloud and technical tasks involved in planning, architecting, migrating, monitoring, and management of enterprise cloud systems. Supports the creation and enforcement of policies for effective data management. Formulates techniques for effective data management, quality data collection to ensure adequacy, accuracy and legitimacy of data. Devises and implements efficient and secure procedures for data handling and analysis with attention to all technical aspects. Supports the daily use of data systems and ensure adherence to legal and company standards. Establish rules and procedures for data sharing. Monitors and analyzes information and data systems and evaluate their performance to discover ways of enhancing them (new technologies, upgrades etc.). Ensures digital databases and archives are protected from security breaches and data losses. Troubleshoots data-related problems and authorize maintenance or modifications. 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. Take measured risks while protecting the bank by applying our Risk Management Framework in the execution of your role, in line with our Risk Culture and within our approved Risk Appetite, making sound and risk informed decisions that align to business strategy, protect assets, and adhere to applicable policy documents (Frameworks, Policies, Standards, Procedures and Supporting documents), laws and regulations.

Requirements

Foundational level of proficiency: Critical thinking.
Foundational level of proficiency: Data Fabric.
Foundational level of proficiency: Data governance.
Foundational level of proficiency: Data integrity.
Foundational level of proficiency: Data Privacy.
Foundational level of proficiency: Data quality.
Foundational level of proficiency: Ontology Design.
Foundational level of proficiency: Semantic Layer.
Foundational level of proficiency: Systems thinking.
Intermediate level of proficiency: Data management.
Intermediate level of proficiency: Enterprise Data Management.
Intermediate level of proficiency: Master Data Management.
Intermediate level of proficiency: Metadata Management.
Intermediate level of proficiency: Verbal & written communication skills.
Intermediate level of proficiency: Collaboration & team skills.
Intermediate level of proficiency: Analytical and problem solving skills.
Intermediate level of proficiency: Influence skills.
Intermediate level of proficiency: Data driven decision making.
Typically between 4 - 6 years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.
Technical proficiency gained through education and/or business experience.

Responsibilities

Supports the creation and enforcement of policies for effective data management.
Formulates techniques for effective data management, quality data collection to ensure adequacy, accuracy and legitimacy of data.
Devises and implements efficient and secure procedures for data handling and analysis with attention to all technical aspects.
Supports the daily use of data systems and ensure adherence to legal and company standards.
Establish rules and procedures for data sharing.
Monitors and analyzes information and data systems and evaluate their performance to enhance them.
Ensures digital databases and archives are protected from security breaches and data losses.
Troubleshoots data-related problems and authorize maintenance or modifications.