At EY, we’re all in to shape your future with confidence.
We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go.
Join EY and help to build a better working world.

ACKNOWLEDGEMENT OF COUNTRY

EY acknowledges the Traditional Owners and Custodians of the lands on which EY offices are located around Australia. We pay our respects to their cultures, and to their Elders — past, present, and emerging. Find out more about our vision for reconciliation at ey.com/en_au/careers/indigenous
Diversity, equity, and inclusiveness (DE&I) are core to who we are, how we work and how we live our values. We encourage applications from people of all ages, nationalities, abilities, cultures, sexual orientations, and gender identities and are committed to providing an equitable and barrier free recruitment experience for all. We encourage you to share any support and adjustments you need to be your best and participate equitably in our recruitment process. We understand sharing your needs with us can be daunting, so if you have questions before or during your application, we welcome you to get in touch at contactrecruitment@au.ey.com or +61 3 8650 7788 (option 2). Anything you tell us will be kept completely confidential.
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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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.

TO BE CONSIDERED FOR THIS ROLE YOU MUST HAVE THE BELOW SKILLS:

• 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).