Internal audit, vice president - data analytics

Responsibilities

• Partner with business and technology audit colleagues to identify impactful data analytics opportunities that enhance audit effectiveness and insights.
• Develop repeatable, scalable solutions for automated and full-population control testing, including auditor self-service tools to drive efficiency.
• Acquire and analyze data from multiple sources and systems to reach and support defensible conclusions; clearly document logic, methods, and evidence.
• Visualize data to effectively communicate findings, patterns, and themes to technical and non-technical audiences.
• Provide training and enablement to increase data literacy across the Audit department.
• Design analytics for non-cycle audit activities and support continuous auditing and monitoring where appropriate.
• Apply key data management concepts (e.g. data quality, lineage, controls) to support audit testing and reliable, repeatable results.
• Manage multiple analytics deliverables and priorities, meeting agreed timelines and quality standards.
• Stay abreast of new tools and technologies to continuously improve our solutions and ways of working.
• Contribute to the maturation of the global Audit Data Analytics program and Future of Audit initiatives.
• Comply with JPMorgan Chase technology and data standards and policies in all aspects of solution design and delivery.
• Genuine interest in data analytics/science tools and techniques; enthusiastic, self-motivated, effective under pressure, and willing to take personal responsibility/accountability.
• Excellent written and verbal communication skills with the ability to present complex and sensitive concepts to senior management.
• Experience working with large, complex datasets, drawing conclusions, and reporting findings.
• Proven track record of developing and delivering sustainable analytical tools and processes.
• Ability to manage multiple tasks concurrently in an efficient and effective manner with minimal supervision.
• Hands‑on experience with one or more of the following: Python, R, SQL, Alteryx, QlikView, Tableau, RPA, Excel, Access.
• Minimum of a Bachelor's degree in Computer Science, Information Systems, or a related discipline.

Preferred Qualifications

• Combination of controls testing and data experience.
• Knowledge of financial operations, products, and regulations.
• Asset & Wealth Management and/or fiduciary experience.
• Regulatory experience.