Senior Consultant | Forensic Data Analytics (Sydney or Melbourne)
Full-time
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.
Role Overview
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.
Responsibilities
* Data driven investigation to identify potential instances of wage underpayment against complex pay rules and entitlements
* Conducting data quality reviews and identifying 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).
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