Advisory - Consulting, Forensic Data Analytics | Off-Cycle Internship 2026 (May 2026 to Dec 2026)
KPMG in Singapore is part of a global organization of independent professional services firms providing Audit, Tax and Advisory services. We operate in 138 countries and territories with more than 276,000 partners and employees working in member firms around the world. Each KPMG firm is a legally distinct and separate entity and describes itself as such. KPMG International Limited is a private English company limited by guarantee. KPMG International Limited and its related entities do not provide services to clients.
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.
#LI-AL2
⠀
Only shortlisted candidates will be contacted by KPMG Talent Acquisition team, personal data collected will be used for recruitment purposes only.
At KPMG in Singapore we are committed to creating a diverse and inclusive workplace. We believe that diversity of thought, background and experience strengthens relationships and delivers meaningful benefits to our people, our clients and communities. As an equal opportunity employer, all qualified applicants will receive consideration for employment regardless of age, race, gender identity or expression, colour, marital status, religion, sexual orientation, disability, or other non-merit factors. We celebrate the different talents that our people bring and support every staff member in their journey to achieve personal and professional growth. One of the ways we do this is through Take Charge: Flexi-work, our flexible working framework which enables agile and innovative teams to help deliver our business goals.