Senior Consultant -Payroll Compliance

About the Team 

The KPMG Forensic team assists clients in detecting and responding to fraud, bribery, corruption, money laundering, misconduct, and other financial crime issues, as well as resolving commercial disputes. We help clients protect their businesses by identifying discrepancies in facts and figures, non-compliant behaviours, and advising on legal and regulatory requirements. Applying forensic techniques, investigation, intelligence, technology, and industry expertise, we help prevent and resolve commercial disputes, fraud, misconduct, and regulatory breaches. 

Your Opportunity

As a Forensic Data Analytics Senior Consultant specialising in wage compliance, you will play a pivotal role in helping our clients identify and remediate breaches against an employer’s Enterprise Agreement, Modern Award, National Employment Standards or jurisdictional based long service leave legislation. 

We’re looking for passionate data analysts driven by purpose and precision to make a real different in people’s lives. Wage compliance isn’t just about numbers, it’s about making sure every worker receives their fair entitlements.  

You will be leveraging your experience in business analysis, data investigation, and analytic skills to identify, investigate, quantify, and report on wage underpayment matters. 

Working with a diverse team of data analysts and subject matter specialists, your work will help uncover discrepancies, support ethical business practices, and uphold the rights of workers across Australia. 

Responsibilities 

• Data driven investigation to identify potential instances of wage underpayment against complex pay rules and entitlements 
• Conducting data quality reviews and identify data anomalies in relation to time & attendance, human resource and payroll systems 
• Development of calculation models to assist in remediation of complex wage and leave issues 
• Development of ongoing monitoring reports and dashboards to assist with ongoing wage compliance 
• Cost modelling to support clients in the planning and negotiation of new Enterprise Agreements.  

Experience 

• Must have experience in analysis of large and complex payroll and time & attendance data to identify or quantify wage compliance issues.   
• Experience in development of SQL, Alteryx or Excel data models or demonstrated analytical ability / willingness to learn. 
• Excellent written communication skills and attention to detail 
• Background in professional services is preferred. 

Qualifications

• Desired tertiary qualifications in a combination of business disciplines (e.g., finance, accounting, law) and technical disciplines (e.g., engineering, IT, computing). 

KPMG is a professional services firm with global outreach and deep sector experience. We work with clients across an array of industries to solve complex challenges, steer change and enable growth. 

Our people are what make KPMG the thriving workplace that it is and what sets us apart is that we know great minds think differently. Collaborate with a team of passionate, highly skilled professionals who’ve got your back. You’ll build relationships with unique and diverse colleagues who will provide you with the support you need to be your best and produce meaningful and impactful work in an inclusive, equitable culture.

At KPMG, you’ll take control over how you work. We’re embracing a new way of working in many ways, from offering flexible hours and locations to generous paid parental leave and career breaks. Our people enjoy a variety of exciting perks, including retail discounts, health and wellbeing initiatives, learning and growth opportunities, salary packaging options and more.

Diverse candidates have diverse needs. During your recruitment journey, information will be provided about adjustment requests. If you require additional support before submitting your application, please contact the  Talent Attraction Support Team .

At KPMG every career is different, and we look forward to seeing how you grow with us.

KPMG Australia: grow with us!