Senior Consultant - Forensic and Integrity Services - Forensic Data Analytics

Senior Consultant - Forensic and Integrity Services – Forensic Data Analytics 

The opportunity       

EY Forensic & Integrity Services professionals help organisations protect and restore enterprise and financial reputation. We assist organisations to investigate facts, resolve disputes and manage regulatory challenges. We put integrity at the heart of compliance programs to help better manage ethical and reputational risks. We understand how organisations navigate complex environments; how pressures, attitudes and culture influence employee actions; and how to leverage data analytics to improve compliance and investigation outcomes. 

As our Senior Consultant in the Forensic Data Analytics team, you will work across all areas of Forensics including anti-money laundering, corruption, fraud and other investigations, commercial disputes, business integrity assignments, transaction disputes, fraud prevention and compliance programme development. 

EY’s Forensic Data Analytics practice is a global, data-focused team within the Forensic & Integrity Services department. The FDA team practices the full life cycle of data analysis from the early stages of data discovery and capture to its management, analysis and reporting. Our engagements typically require working with large datasets from disparate sources to support investigations, disputes, and proactive risk detection.  

Since we work with such a diverse portfolio of clients across industries, you can expect to take on a wide range of technological challenges, making this a great place to develop your technical and business knowledge. Our Forensic Technology lab provides forensic technology infrastructure and tools necessary to accelerate the fact-finding process in diverse scenarios.

This role can be performed from any of our EY offices across Australia. Our roles can potentially be adjusted to work flexibly with reduced hours. Please speak with us about potential options.  

Your key responsibilities

• Use market leading advanced data analytic tools to generate insights to support fraud investigations, disputes, and regulatory compliance challenges for our clients, across a range of industries.
• Work with the broader Forensics team and consult with stakeholders; develop forensic procedures and define measurable data metrics and design investigative analysis.
• Extract, validate, transform and load high-volume structured and unstructured data from multiple data sources (including ERP and accounting systems) for deeper analysis.
• Develop algorithms, data mining, and data analytic solutions to assist our clients with detection of fraud, bribery and corruption; irregular financial transactions; anomalous employee behaviour; and to target error and waste in their operations.
• Support senior team members in the preparation and presentation of client deliverables, including using a suite of visualisation software to clearly present the benefits of the analysis to clients.
• Work in multi-disciplinary teams across a range of industries, using our analytics to transform and improve our clients’ businesses.   

Skill and attributes for success

• Ability to communicate technical information in non-technical language and effectively collaborate with members of cross-functional teams. 
• Strong problem solving and critical thinking skills; and the ability to clearly and concisely present data, conclusions, and recommendations. 
• Proficiency and professional experience with data manipulation languages such as SQL, and statistical techniques (regression, clustering etc.) and analytical and modelling tools such as Alteryx, Python, R or similar packages. 
• Ability to hypothesise, analyse and draw conclusions from financial and operational data.

Ideally, you’ll have the skills and attributes below but don’t worry if you don’t tick all the boxes. We’re interested in your aptitude, attitude and willingness to learn.  

• Academic or professional experience in a relevant technical field (Computer Science, Business Analytics, Information Systems, Finance, Statistics, Economics, Commerce, Mathematics). 
• Familiarity with data visualisation software such as Power BI (preferred) or Tableau.
• Understanding of Azure/AWS cloud computing platforms, commercial relational database systems (e.g., SQL Server, PostgreSQL, Oracle, MySQL) and enterprise software solutions. 

• Understanding of algorithms (Machine learning, pattern recognition, NLP etc.) and big data technologies such as Spark, Elasticsearch, Hadoop.

• Working knowledge of financial processes other business processes (e.g., regulatory reporting).

What we offer you

At EY, we’ll fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. We’re proud to be recognised as the #1 WORK180 Endorsed Employer in the Top 101 Employers for Women 2026. Learn more. 

• Career development: At EY, your career is yours to shape! We’ll develop you with future-focused skills and equip you with world-class experiences ey.com/au/careerdevelopment 
• Flexible work arrangements: Our flexible work policies empower you to balance your professional and personal life, fostering a culture of trust and autonomy.
• A comprehensive benefits package: From a yearly wellness incentive, to access to additional 8 weeks of flex leave per year, and family-friendly policies, including up to 26 weeks of gender-neutral paid parental leave, we cater to your diverse needs to help you thrive both personally and professionally www.ey.com/au/benefits    
• Salary: We offer a competitive salary which is open to negotiation depending on skills and experience.

Acknowledgement of Country 

Are you ready to shape your future with confidence? Apply today.  

EY | Building a better working world 

Our preferred applicant will be required to undertake employment screening by EY or our external third-party provider. 

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