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Off-Cycle Internship 2024 (Dec 2024 - Jun 2025), Forensic Data Analytics

Function(s):  Advisory
Work Type:  Internship
Job Categories:  Interns
Start Date for Applications:  24 Jan 2025
Closing Date for Applications: 

KPMG in Singapore is part of a global organization of independent professional services firms providing Audit, Tax and Advisory services. We operate in 143 countries and territories with more than 273,000 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.

KPMG in Singapore is part of a global organization of independent professional services firms providing Audit, Tax and Advisory services. We operate in 143 countries and territories with more than 273,000 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 team offers robust, practical advice, helping our clients identify and deal with potential lapses and fraudulent activities through our expertise in forensic services and data analytics. Our group of experienced professionals use accounting, investigation, intelligence, technology, economics and deep industry skills alongside consistent global methodologies to help reduce reputational risk and commercial loss in order to improve the value obtained from existing contracts. 

 

As an intern, you will get the opportunity, but not limited to:

  • Manage and work with large data sets from a wide variety of industries 
  • Gain insights on how Forensic professionals analyse and interpret the data through exploratory data analysis, meaningful statistical models, machine learning etc.
  • Build models that can provide valuable insights from a forensic/fraud angle 
  • Apply your knowledge in both Accounting and Data Analytics on assigned tasks during your stint  

 

The ideal candidate should possess the following:

  • Undergraduate pursuing a degree in Accounting and Data Analytics 
  • Proficient in at least one of the following programming languages – SQL, Python, R 
  • Team player with strong collaboration skills and the ability to also work independently to deliver tasks in a timely manner 

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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.

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.

Apply now »