$ cat jobs/associate-forensic-data-analytics-kordamentha-98dfc23b9c3e.json
Associate - Forensic Data Analytics
For more than 20 years, KordaMentha has supported businesses through some of their most complex matters and opportunities. Founder owned and led; we are an advisory firm that helps corporations, financiers, lawyers, private investors and government clients to grow, protect and recover value. That’s what we do, but it’s how we do this that makes us who we are. Proudly independent, strategically local, and with a bias for action to get things done, we focus on doing what is right by our clients, our people, and the wider community. Our track record shows that we help navigate the best path forward in challenging times, and do so across cities, regions and territories. In the most stressful or demanding environments, we continue to drive change where it really counts. Turn Data into Evidence. Turn Insights into Impact. At KordaMentha , we solve some of the most complex and high-profile challenges facing organisations today. Our Forensic Data Analytics team partners with clients, regulators, legal advisers and business leaders to uncover critical insights hidden within data—supporting investigations, class actions, remediation programs, financial crime matters, risk and compliance reviews, and complex disputes. We're looking for an Associate - Forensic Data Analytics, who is curious, commercially minded and passionate about using data to solve real-world problems. This is an opportunity to work on highly engaging projects, collaborate with industry-leading experts, and accelerate your career in one of Australia's most respected advisory firms. As an Associate, you'll play a key role in delivering forensic and analytical engagements that make a tangible difference for clients. You'll: Analyse large and complex financial, payroll and transactional datasets to identify trends, anomalies and areas of risk. Build and enhance analytical, financial and statistical models that support investigations, remediation programs and high-stakes decision-making. Transform complex data i