Overview:
Join KPMG Singapore’s Audit Innovation Lab (SAIL) and explore how technology and data analytics are transforming the audit profession. As an intern, you’ll gain hands-on experience with industry-leading tools, learn to process and analyze complex datasets, and contribute to innovative workflows that improve audit quality.
What you'll get out of this internship:
- Mentorship from experienced audit data analysts.
- Practical experience using data and analytics tools like Microsoft Excel Power Query Editor and Alteryx.
- Exposure to automation and data sanitization workflows.
- A chance to build skills highly relevant to audit, finance, and data analytics careers.
Key Responsibilities:
- Assist in processing and analyzing data using D&A tools.
- Support the development of automated workflows for data sanitization and auditing processes.
- Collaborate with team members on projects that promote innovation in audit practices.
- Learn and apply new analytical techniques to improve audit processes.
Requirements:
- Currently pursuing a Bachelor’s degree in Accountancy, Data Analytics, Data Science, Computer Science, or related fields.
- Strong analytical thinking and attention to detail.
- Self-motivated and able to work both independently and collaboratively.
- Excellent communication and organizational skills.
Who is this internship ideal for:
- Students interested in data-driven auditing and finance technology.
- Individuals seeking exposure to innovative audit practices and analytics tools.
- Those who enjoy solving problems, working with data, and contributing to process improvements.
About Company:
KPMG is a global network of professional services firms providing Audit, Tax, and Advisory services in 143 countries. The Singapore Audit Innovation Lab fosters creativity and experimentation in audit, promoting technology adoption and upskilling while supporting a culture of innovation across staff and clients.
Internship details:
- Location: Singapore
- Duration: Not specified, likely aligned with academic terms
- Work environment: Hands-on, mentorship-focused, exposure to advanced data analytics tools
- Flexible and inclusive work culture, supporting diversity and professional growth
