Audit manager data
Consults on audit analytic solutions to understand, analyze, and synthesize requirements, goals and objectives relative to data and business intelligence testing and to enable high-quality, fact-based business decisions to drive better business outcomes. Provides advice on the configuration, functionality, applicability, and usability of data management, data analytics, and data visualization technology solutions on audit projects. Supports the development of the strategy and roadmap for data quality and data analytics, data modeling, reporting, business intelligence, and the design and development of sophisticated decision support tools used across Corporate Audit.
Job Responsibilities- Acts as a trusted advisor to assigned audit groups including Operations, Anti-Money Laundering, Finance and Credit.
- Leads the design, development, and implementation of audit analytic solutions.
- Identifies emerging issues, risks, and trends to inform decision-making.
- Recommends and implements solutions based on analysis of audit controls, issues, and implications on the business.
- Ensures alignment between auditors & business partners regarding audit and data needs.
- Leads/participates in the design, implementation and management of new analytics & reporting solutions.
- Designs, develops, and implements innovative auditor-requested analytical solutions.
- Designs and produces regular and ad-hoc reports, and dashboards.
- Breaks down strategic problems, and analyses data and information to provide subject matter insights and recommendations.
- Structures and assembles data into multi-dimensions with various granularities (e.g., demographics, customers, products, transactions).
- Cleanses, manipulates, and transforms data through programming / scripting for model training and validation.
- Automates validation tests to improve quality and efficiency of the validation process.
- Validates and tests models used in audit analytics and reporting to assess/address performance and compliance.
- Conducts various pre-implementation and post-implementation analyses to estimate/measure business impact caused by model adoption (e.g., revenue increase, cost reduction, corporate brand image).
- Promotes reporting automation, self-serve audit analytics consumption, and the culture of audit analytics-driven decision making.
- Monitors and tracks tool performance, user acceptance testing, and addresses any issues.
- Integrates information from multiple sources to enable more efficient processes, enhanced analysis and/or streamlined reporting.
- Designs, develops, and implements innovative analytical solutions.
- Designs and produces regular and ad-hoc audit reports, and dashboards.
- Builds reports and visualizations to effectively communicate data driven insights to users for a variety of audiences e.g. visualization solutions of data into reports, graphics, dashboards to illustrate facts, trends, and insights.
- Develops solutions and makes recommendations based on an understanding of the business strategy and stakeholder needs.
- Supports development and execution of strategic analytics & reporting initiatives in collaboration with internal and external stakeholders.
- Analyzes data and information to provide subject-matter insights and recommendations.
- Develops tools and delivers training programs for use of reporting tools and self-serve analytics by non-analytical end users; may include delivery of training to audiences.
- Documents and maintain operational procedures and processes relating to analytical and reporting processes.
- Builds effective relationships with internal/external stakeholders.
- Collaborates with internal and external stakeholders in order to deliver on business objectives.
- 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:
- Typically between 3-7 years of relevant experience and post-secondary degree in related fields of AML/Regulatory risk and/or analytics, including study or an equivalent combination of education and experience.
- Knowledge and/or experience in data preparation, data analysis, and statistical tool sets including but not limited to SAS, Power BI, SQL, ACL, R, Python, Spotfire, Tableau, , MATLAB, SPSS - In-depth.
- 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.
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