Bloomberg's Internal Audit group is looking to leverage emerging technologies such as data analytics and artificial intelligence to drive transformative change and enhance audit effectiveness, improve governance, and enable data-driven decision-making.
Requirements
- Familiarity with data structures and experience using SQL, Python, R, or other analytics tools.
- Exposure to AI/ML concepts or practical applications in business or risk contexts.
- Experience with internal control frameworks (e.g., COSO, COBIT)
- Experience using a Bloomberg Terminal or similar technology.
- Comfort navigating IT infrastructure, including setting up and managing databases, servers, and other tech stack components to support operational needs.
- Contributions to building, promoting, or enhancing a data analytics program—whether through introducing new tools, scaling adoption, or mentoring peers on data-driven techniques.
- Experience with data visualization, anomaly detection, predictive analysis
Responsibilities
- Execute audit testing and fieldwork, applying analytics, automation, and AI-enabled techniques to assess risks and controls.
- Perform data extraction, cleansing, and analysis across multiple sources to support audit objectives.
- Apply innovative auditing techniques (e.g., data visualization, anomaly detection, predictive analysis) to enhance audit results.
- Collaborate with audit teams and stakeholders to embed analytics into the audit lifecycle.
- Document and present findings clearly, ensuring accuracy and completeness.
- Stay current with emerging trends in AI, data analytics, and technology risk, bringing forward practical applications for audit.
- Contribute to continuous improvement of Internal Audit methodology through adoption of modern techniques.
Other
- 3–6 years of hands-on experience working within internal audit, risk management, or related governance functions.
- Strong written and verbal communication skills, with the ability to present findings to diverse audiences.
- Critical thinking, problem-solving abilities, and strong attention to detail.
- Ability to work collaboratively and manage multiple priorities in a dynamic environment.
- A passion for leveraging technology to enhance business value.
