Advisory - Consulting, Forensic Data Analytics | Graduate Associate 2026

KPMG Singapore; Singapore; On-site; SGD 40,000 - 60,000; Full time

Job summary

A leading global professional services firm in Singapore seeks a Graduate Associate for Forensic Data Analytics. The role involves building machine learning models, performing data analysis, and drafting reports using tools like PowerBI and Tableau. Candidates should have a degree in computer science or related fields, alongside skills in SQL and forensic software. KPMG promotes a diverse workplace and offers flexible working arrangements as part of their commitment to employee growth.

Benefits

Flexible working framework

Diverse and inclusive workplace

Professional growth opportunities

Qualifications

• Excellent academic records in relevant fields.
• Ability to use forensic software for data analysis.
• Proficient in SQL and database management.

Responsibilities

• Develop machine learning models using Python.
• Perform data integrity analysis using SQL.
• Draft reports and create dashboards to document findings.

Skills

Data analysis

SQL

Python

Machine learning

Forensic software

Education

Undergraduate degree in computer science, digital forensics, or data analytics

Tools

PowerBI

Tableau

Job description

Advisory - Consulting, Forensic Data Analytics | Graduate Associate 2026

Work Type: Permanent

Start Date for Applications: 11 Dec 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

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
• 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.

Associates can expect to:

• Gain hands‑on experience in Forensic engagements which can range from fact‑finding reviews into allegations of fraud and misconduct, assessing AML frameworks and systems, assisting in customer due diligence remediation and backlog reviews for transaction monitoring and screening alerts, and supporting complex investigations through digital forensic procedures and advanced data analytics
• Grow your network through participation in Forensic practice development with senior management, including drafting proposals, thought leadership and coordinating team building activities
• Gain insights into the methodology and approach used in conducting Forensic engagements
• Obtain an understanding of stakeholder management and project delivery
• Take responsibility in engagement planning and keep senior team members informed of significant developments and progress of the engagement
• Learn and understand how to build relationships with client contacts and maintain these relationships after the work has been completed

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

• Building both supervised and unsupervised machine learning models using programming language such as Python
• Performing rule‑based analysis to ascertain data integrity and detect anomalies using SQL
• Assisting in Data Analytics engagements, including data exploration, data processing and data analysis
• Assisting in the development and deployment of analytical solutions, suited for each client's requirements
• Drafting reports and/or creating dashboards using reporting tools such as PowerBI or Tableau, to document findings
• Documenting processes and work done clearly, such as how‑to guides, technical notes and training materials
• Supporting the development, testing and deployment of internal system initiatives

We look for individuals with the below backgrounds:

• Undergraduate degrees with excellent academic records, in computer science, digital forensics, data analytics or related degrees.
• Be able to use forensic software to identify, collect, preserve and analyse electronic data from laptops, desktops, servers, cloud, backup tapes and mobile devices.
• Proficient working knowledge in evidence handling, chain‑of‑custody, acquisition techniques, analysis of digital evidence, forensic lab practices and procedures.
• Ability to code in any popular language is an advantage. This will help you in automating some of the routine tasks. Knowledge of database management and SQL is preferred.
• Good understanding of Microsoft Windows, Macintosh and other Operating Systems (OS). You should be able to understand and translate the artefacts extracted from the OS into investigation outcomes supported by detailed documentation.
• Any certifications in the field of cloud technologies, computer forensics and/or e‑discovery will be 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.