Internal Audit, Analytics Solutions Manager - Asset Wealth Management

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, 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.