Location: Toronto, ON, Canada
Category: Data Analytics
Salary: 0 - 0 CAD / yearly
Full-time
Reporting to the AVP, Audit Data Analytics, this individual is responsible for development and delivery of strategic analytics initiatives and processes within Internal Audit to achieve Audit objectives.
Lead the analytical project planning with Audit teams to establish scope, objectives, deliverables and perform data analytics procedures and testing to evaluate controls and business objectives, data collection tasks and generate analytics insights.
Collaborate with IT and Business Unit users to understand data structure, availability, and accessibility.
Develop detailed businesses and systems knowledge of Business Groups, and document business, system, contacts, and data sources to help build a robust knowledgebase for future efforts.
Plan, Lead and Develop proof of concept solutions on Audit Process Automation, Continuous Automated Auditing and Monitoring, and other projects enabling audit digitization.
Leverage applied understanding of programming, stats, machine learning, data visualization, exploratory data analysis, ML Ops, to uncover gaps in control objectives and enable deeper insights and enhanced risk assurance.
Contribute to the development of Internal Audit policies, strategy, and direction; and continually improve audit and supporting processes leveraging technology to the fullest.
Develop Analytics curriculum and train auditors in SQL, Python and Tableau on basic analytics tasks of descriptive analytics.
5+ Years of hands-on experience applying analytics (descriptive, diagnostic, predictive) to evaluate controls and business objectives and identify outliers, anomalies, patterns, or other compliance indicators that may be hidden in the data.
5+ Years of experience in Data Science or Machine Learning, with 2+ Years of experience in the NLP domain developing and productionizing machine learning models (experience with LLMs, generative AI is a plus) validated by reference to GitHub profile showcasing relevant projects.
5-7 Years of demonstrative experience using programming languages - SQL and Python including python data libraries (numpy, pandas, matplotlib, scikit-learn), Visualization tools - PowerBI/Tableau and AWS SageMaker.
Proven track record of developing impactful presentations, visualizations, and dashboards for executives.
Excellent written and verbal communication skills.
The ability to work effectively with persons at all levels in the organization and influence management in ambiguous situations.
In-depth understanding of the principles and practices of information technology, data analytics, digital processes, and internal controls in a large corporate environment.
Advanced degree in a quantitative discipline such as Data Science/Analytics, AI, Engineering, Operations Research, Computer Science/Engineering, Statistics, Mathematics, or related fields.
8+ Years of progressive financial industry experience.