Marsh McLennan is seeking a talented individual to join their Global Internal Audit team to leverage analytics and uncover process and control issues, identify themes, anomalies, and trends in financial, operational, and technology data.
Requirements
- Experience in Data Analytics, Internal Audit, Risk Management, or similar functions
- Knowledge of Generative AI prompt building required; Machine Learning and advanced analytics preferred
- Ability to translate complex technical findings clearly to business and audit leaders
- Experience and proficiency with Excel, Power BI, Python
- Familiarity with internal audit frameworks (COSO, SOX, risk-based auditing)
- Data Analytics Certifications (e.g., CCA, CAP)
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
- Conduct risk assessments to prioritize audit efforts and align activities with risk management strategies
- Document the analytics approach and results
Other
- 1-3 years of related experience
- Bachelor’s degree in data science, Mathematics, Accounting, Finance, Computer Science, or a related field
- Comfortable collaborating across Internal Audit, IT, and business teams
- Staying up to date with emerging data analysis tools and techniques, audit technologies, and methodologies
- Minimum of three days per week in the office
