Support the development and roll-out of Internal Audit's data analytics strategy and continued growth in this program, including talent development, capability building, and managing communications.
Partner with internal auditors and business stakeholders to understand data sources and business challenges, and design creative approaches to identify, evaluate, and communicate risk and opportunities to drive results.
Work on cross-team projects:
Using Data Analytics or Advanced Data Modeling to discover insights that guide audit activity and risk-based decisions.
Design audit procedures using analytical techniques to identify potential anomalies requiring audit or management attention.
Develop a continuous auditing program and automated data analytics rules (using ML/AI) over high fraud and high operational risk areas.
Assess governance and oversight of machine learning projects, including processes for developing, testing, and deploying models, assessing risks, and providing recommendations to mitigate those risks.
Champion initiatives that encourage and equip the Internal Audit Department to embrace an analytical mindset and apply analytics in all phases of an audit: planning, fieldwork, and reporting.
Qualifications
Bachelor's or Master's Degree in Accounting, Finance, Economics, Business Management, MIS, Data Analytics, Business Analytics, Data Science, or related fields.
Minimum 3 years of experience in financial auditing, internal auditing, or risk assessment.
Experience in report development, data delivery, and processing.
Experience with dashboards and database development.
Proficiency in Data Analytics and tools (e.g., ACL, SQL, Power BI, Qlik, Python) is required.
