Marsh McLennan's Global Internal Audit team needs to leverage data analytics to identify process and control issues, as well as uncover themes, anomalies, and trends in financial, operational, and technology data to enhance audit activities.
Requirements
- Knowledge of Generative AI prompt building required; Machine Learning and advanced analytics preferred
- Staying up to date with emerging data analysis tools and techniques, audit technologies, and methodologies
- Experience and proficiency with Excel, Power BI, Python
- Data Analytics Certifications (e.g., CCA, CAP)
- Familiarity with internal audit frameworks (COSO, SOX, risk-based auditing)
Responsibilities
- Optimize data collection processes and ensure data integrity and security
- Collect, clean, and analyze large datasets to support audit activities
- Build continuous auditing systems for key processes
- Identify and implement automation opportunities, including AI, to enhance audit workflows
- Develop, evaluate, and improve automated audit processes
- Document the analytics approach and results
- Create dashboards and reports for the Audit Team
Other
- 1-3 years of related experience
- Bachelor’s degree in data science, Mathematics, Accounting, Finance, Computer Science, or a related field
- Experience in Data Analytics, Internal Audit, Risk Management, or similar functions
- Strong analytical skills with the ability to interpret complex data sets and identify risks using data-driven insights
- Ability to translate complex technical findings clearly to business and audit leaders
