Manager - Forensic Data Analytics

About the role

EY is hiring a Manager within its Forensics & Integrity Services (FIS) team in Brisbane. You will lead some of the largest, high-profile disputes, investigations and regulatory matters, working alongside an experienced leadership group. The role sits in a multi-disciplinary Oceania team of accountants, risk managers, technology specialists and former regulatory and law enforcement professionals, and can be performed from any EY office in Australia.

Key responsibilities

• Lead the planning, execution and delivery of projects, from initiation through to closure, ensuring high-quality outcomes and client satisfaction.
• Analyse complex datasets with advanced tools and methodologies to generate insights, build models, identify patterns, automate processes, visualise results and produce evidence for investigations, compliance and dispute resolution.
• Work closely with clients, manage stakeholder relationships (corporate clients, legal teams and Partners) and present findings and recommendations clearly.
• Contribute to business development (proposals and presentations), mentor and develop teams through coaching and training, and show flexibility including occasional travel.

Required profile

• Ideally 5+ years of experience in forensic accounting and data analytics, applying best practices such as data quality assessment, validation, documentation and reproducibility.
• Proven experience leading client engagements and managing teams, with strong communication, discretion and confidentiality.
• Ability to interpret complex information, manage competing priorities and deliver training and consulting engagements.
• Relevant professional qualification (CPA, CA, CFF, CFE or equivalent); flexibility to travel occasionally and additional languages are an advantage.

Required skills

• Forensic data analytics, fraud investigation and dispute support.
• Tools such as Excel, SQL, Python, Alteryx, JavaScript and data visualisation platforms such as Power BI.
• Advanced techniques including machine learning, pattern recognition, NLP and big data tools such as Spark, Elasticsearch and Hadoop.
• Business development, proposal preparation and report writing.

What we offer

• Career development with future-focused skills.
• Flexible work arrangements.
• A benefits package including a yearly wellness incentive, an extra 8 weeks of flex leave per year and family-friendly policies including up to 26 weeks of gender-neutral paid parental leave.
• Competitive salary open to negotiation depending on skills and experience.