Staff Auditor

About the Role

The Internal Audit Group (IAG) is seeking a Staff Analyst based in New York and aligned to the Internal Audit Group’s Professional Practices team. The colleague will support resource planning, capacity management, skills-based planning, and third party oversight activities that strengthen IAG’s operating effectiveness and ability to deliver risk-based audit coverage. They will also contribute to delivering analyses and reporting that provide IAG leadership with the insights needed for critical resourcing decisions. The role will also help colleagues apply IAG methodologies, policies, and procedures while contributing to project execution, stakeholder engagement, and continuous improvement across the department.

Responsibilities
Key Responsibilities

Support capacity planning and management, including monitoring team capacity and enabling effective adoption and understanding of capacity management tools and processes.
Assist in maintaining IAG’s resource planning tool, ensuring data accuracy, generating regular reports on staffing, and highlighting key trends and variances
Create capacity related dashboards, monitor KRIs, and review utilization data to highlight potential imbalances in staffing levels
Assist with Ad-Hoc related requests to support capacity management
Partner across teams and with leaders to identify opportunities to strengthen staffing, talent practices, and workforce effectiveness across IAG
Provide support to colleagues in the application of IAG operations, methodologies, and related policies and procedures, including responding to questions and providing guidance with oversight
Support the implementation and ongoing evolution of skills-based workforce planning, helping align colleague capabilities with audit needs and proactively identify and address skill gaps.
Help manage and enhance the co-source program, supporting resource management, governance, financial oversight, and partnership with key stakeholders.
Review IAG Audit Reports to ensure alignment with the audit database and IAG methodology
Support preparation of deliverables to address regulatory requests related to IAG’s resourcing, capacity, and third party oversight activities
Provide support to colleagues in the application of IAG operations, methodologies, and related policies and procedures, including responding to questions and providing guidance with oversight
Develop knowledge of the organization, operations, policies and procedures (including banking laws and regulations) under which Amex operates
Produce high-quality work within established deadlines, supporting project management initiatives, while staying open to constructive feedback and applying feedback to future assignments

Qualifications
Minimum Qualifications 0-2+ years of experience

Demonstrates strong written and verbal communication skills to deliver deliverables with quality
Works independently, within the team and across various teams in a fast-paced environment to drive business results, employing creative thinking, and the ability to work on competing priorities
Learns how to break-down problems into components, and solve using data analysis, process, risk control knowledge, and experience to drive risk-based conclusions and decisions
Develops knowledge and experience in applying control theory and professional auditing practices throughout the audit lifecycle
Develops understanding of regulations, regulatory risks, accounting, and financial industry best practices, including technology and data implications
Advanced experience in Excel, creating complex formulas and working with large data sets.

Preferred Qualifications

Prior audit experience, either internal or external
Prior experience with resource planning and capacity management
Experience with data analytic tools, data visualization, key risk indicators (KRIs), key performance indicators (KPIs), information systems / technology, and scorecards / dashboards, etc.
Interest in working with data, interpreting results, analytic best practices and experience with data analytics tools and data visualization