Technology Assurance Analyst — AI-Driven Audits

KPMG LLP

New York (NY)

On-site

USD 85,000 - 110,000

Full time

8 days ago
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Job summary

KPMG LLP is seeking a Technology Assurance Associate to join our Audit and Assurance team in New York. Start Season & Year: Summer/Fall 2027; earliest graduation date Nov 2026, latest July 2027. You will help conduct IT audits, analyze systems, and support AI-driven data insights for financial services clients.

Role emphasizes in-person collaboration, strong communication, and building relationships across teams while applying professional judgment in a dynamic, professional services environment.

Qualifications

  • Pursuing and/or completed a bachelor’s degree in MIS, AIS or equivalent in the past 12 months.
  • Preference for CPA progress or candidates pursuing CPA licensure; CISA helpful.
  • GPA of 3.0+ preferred; exposure to ERP systems such as SAP, Oracle, NetSuite or Workday.
  • Strong MS Office skills, especially Excel, data analysis, and quick learning of KPMG tools.

Responsibilities

  • Conduct IT audits and support capital markets by ensuring accuracy of client financial information.
  • Prepare clear documentation of client processes and IT systems, identifying IT risks and controls.
  • Evaluate risks, controls and compliance against leading practices and frameworks to inform recommendations.
  • Execute testing of IT and automated controls with clear procedures and results; document outcomes.
  • Support data driven audits using AI, BOTs, dashboards, Excel, Alteryx, SQL and Power BI.
  • Assist in digital transformation reviews, project management, and client communication.

Skills

IT audits
Data analysis
Excel
Power BI
SQL

Education

Bachelor's degree in MIS / AIS or related

Tools

SAP
Oracle
NetSuite
Workday

Job description

KPMG LLP is seeking a Technology Assurance Associate to join our Audit and Assurance team in New York. Start Season & Year: Summer/Fall 2027; earliest graduation date Nov 2026, latest July 2027. You will help conduct IT audits, analyze systems, and support AI-driven data insights for financial services clients.

Role emphasizes in-person collaboration, strong communication, and building relationships across teams while applying professional judgment in a dynamic, professional services environment.

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