The Audit Data Analytics team comprises data professionals based across multiple global locations. The primary focus is to support testing of key business and technology controls by using a variety of innovative techniques to increase efficiency, effectiveness and insight.
As an Internal Audit Vice President within our Data Analytics Team, you will be a forward-thinking and action-oriented individual who will help steer the organization toward a data-enabled and data-driven future. Our team is aligned to Commercial & Investment Bank (CIB) Audit, and this position reports to the Global AWM/ET/CIB Audit Data Analytics team lead.
Job 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.
Required qualifications, capabilities, and skills
- 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, capabilities, and skills
- Combination of controls testing and data experience.
- Knowledge of financial operations, products, and regulations.
- Asset & Wealth Management and/or fiduciary experience.
- Regulatory experience.