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.

We’re looking for a forward-thinking and action-oriented individual to help steer the organization toward a data-enabled and data-driven future. Our team is aligned to Asset & Wealth Management (AWM) Audit, and this position reports to the Global AWM 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, Qlik View, 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.