Advisory - Consulting, Forensic Data Analytics | Graduate Associate 2026

Function(s): Advisory

Work Type: Permanent

Start Date for Applications: 17 Oct 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.

Job Description

We invite highly motivated, dynamic Data Scientists to join our growing Forensic practice to fight financial crime and fraud.

In this role, you will be responsible for building data analytics models (including machine learning) to support both KPMG forensic team and KPMG clients across different industries.

Successful candidates should have a passion for technology to create better forensic data analytics solutions and the ability to operate with confidence in the business intelligence and analytics arena.

The role involves data analytics and operations support. Responsibilities include:

• Build both supervised and unsupervised machine learning models

• Perform data exploration, data processing and data analysis

• Develop analytical solutions
• Deploy analytical solutions in client premises
• Actively provide feedback for future enhancements

• Develop in-depth knowledge and understanding of digital solutions and products capabilities

• Maintain up-to-date knowledge of trends and market information related to data science space in order to support our solutions focused business development strategy and client engagements (e.g. develop industry specific go-to-market materials – proposals, use cases, demos, etc.)

• Support the development and delivery of presentations and product demonstrations
• Participate in the documentation of processes and knowledge, including how to guides, technical notes, training materials, etc.
• The ideal candidate should:
• Possess a bachelor degree or professional qualification in computer science, software engineering or related degrees
• Demonstrate a strong understanding of data analytics, machine learning and software engineering
• Able to work with large amounts of data
• Be vigilant, customer & service-oriented and a self-motivator
• Demonstrate a keen interest and aptitude for learning new skills sets and taking on new roles/challenges
• Possess critical thinking, strong listening skill and strong problem-solving abilities to provide conclusions based on the data findings
• Possess strong entrepreneurial spirit and a desire to contribute to a constantly evolving business environment
• Demonstrate excellent verbal and written communications skills in English to present complex ideas/findings
• Able to multitask, prioritise and deliver in a high-pressure and fast-paced environment
• Have a proactive and collaborative work style
• Proficient in SQL and Python
• Possess business/accounting knowledge is an advantage

⠀

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.