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Advisory - Consulting, Forensic Data Analytics | Off-Cycle Internship (Jan 2027 to Jun 2027)

KPMG Singapore Careers
12 days ago
Internship
On-site
Singapore

Job Description

KPMG's Forensic practice consists of experienced professionals with a wealth of experience in investigations, AML/CTF, data analytics, FATCA/CRS, forensic technology and disputes. We have helped some of the world's biggest companies on some of the most important matters of public interest in Singapore.

We help clients deal with:

  • Fraud, misconduct and corruption investigations
  • Assess and improve client’s AML controls and financial crime compliance
  • Commercial disputes
  • Regulatory compliance
  • Managing risk on buying or selling a business, intellectual property and contract governance
  • Preventing and detecting fraud and financial crime

 

We also deploy technology tools to help clients deal effectively with large amounts of data and documentation, to manage and disclose important material or highlight fraud, weaknesses and business opportunities from within corporate data.

 

As an Intern in the Data Analytics service line, your scope of work will include:

  • Gain insights into how forensic professionals analyze and interpret data through exploratory data analysis, meaningful statistical models, and machine learning.
  • Manage and work with large data sets from a wide variety of industries.
  • Apply your knowledge in both accounting and data analytics to assigned tasks during your internship.
  • Build rules and models that provide valuable insights from a forensic/fraud perspective.
  • Develop solutions that support fraud investigation and monitoring.
  • Support the development and delivery of presentations and product demonstrations.
  • Participate in the documentation of processes and knowledge, including how-to guides, technical notes, and training materials.

 

The ideal candidate should be:

  • Pursuing a degree or professional qualification in data science, computer science, or software engineering.
  • Proficient in SQL and Python. Business/accounting knowledge is an advantage.

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