Senior Auditor
Listed on 2026-01-25
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IT/Tech
Data Analyst, Data Security
At Fluor, we are proud to design and build projects and careers. We are committed to fostering a welcoming and collaborative work environment that encourages big-picture thinking, brings out the best in our employees, and helps us develop innovative solutions that contribute to building a better world together. If this sounds like a culture you would like to work in, you’re invited to apply for this role.
Job DescriptionThe Senior Internal Auditor delivers risk‑based assurance and advisory services across finance, operations, and IT, in conformance with the IIA Global Internal Audit Standards and the Internal Audit Charter. The role blends traditional auditing with advanced data analytics and responsible use of AI to improve audit coverage, quality, and speed while upholding independence and ethical requirements.
Key Responsibilities- Plan & Execute Risk‑Based Audits
- Lead scoping, risk assessment, fieldwork, and reporting for operational, financial, IT, and project audits; maintain documentation and evidence consistent with IIA Standards.
- Coordinate with management and the Audit Committee on plan execution and reporting cadence under the Internal Audit Charter.
- SOX / ICFR Testing & COSO Alignment
- Perform and/or lead design and operating‑effectiveness testing over controls supporting financial reporting; align evaluations with COSO 2013 principles and entity‑level controls.
- Partner with Internal Controls & IT Compliance and external audit to streamline reliance and reduce duplication, leveraging Audit Board where applicable.
- Analytics‑Driven Auditing (Data Science)
- Design and run analytics to test entire populations (e.g., transactional outlier detection, trend/ratio analysis, joins across SAP/other systems); build repeatable scripts and dashboards.
- Use advanced Excel, Power BI, ACL (or equivalent) routinely in planning, testing, and reporting. Maintain robust work papers and control libraries in Audit Board; contribute reusable analytics and test procedures to the RCM.
- Responsible Use of AI in Internal Audit
- Apply Copilot 365 and generative AI to accelerate evidence synthesis, draft issue criteria, and standardize report sections; follow department AI use cases and guidance.
- Identify and assess AI/model risk where business processes rely on models or ML tools; evaluate model governance, bias, data lineage, and monitoring per emerging guidance.
- Continuous Auditing & Automation
- Contribute to scripts/workflows that automate sampling, interface/ITAC checks, and repeat tests (e.g., manual GL transaction reviews, duplicate invoice detection).
- Promote process automation and modernized audit execution (as noted in team priorities).
- Reporting & Stakeholder Engagement
- Write clear, concise reports linking issues to business objectives and strategic priorities; drive agreement on action plans and timelines.
- Communicate complex analytics/AI findings in plain language and present to leadership with confidence and professionalism.
Job Requirements
- Bachelor’s degree in Accounting, Finance, Information Systems, Data Analytics, or related field.
- Professional certification (one or more preferred): CPA, CIA, CFE, or CISA.
- 4+ years relevant audit experience; public accounting (Big 4 preferred) counts 2–3 years as equivalent.
- Willingness to travel up to 30% and work in‑office regularly (Greenville, SC).
- Demonstrated experience with AI (prompting, agent concepts) and analytics tools in an audit context.
Job Requirements Critical Skills & Competencies
- Risk‑based auditing, independence, objectivity, and ethics; strong documentation, communication, and collaboration.
- Proficiency with Excel (advanced), Power BI, ACL (or similar); comfort with SQL/Python concepts for data prep and tests (hands‑on or with support from analytics SMEs).
- Copilot 365 and generative AI use cases: risk assessment research, issue drafting, evidence summarization, and template standardization (per team use case matrix).
- Understanding of model risk management and AI governance (data quality, bias, transparency, monitoring).
- Audit Board (controls, RCM, workflows, dashboards), SAP/ERP data…
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