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Senior Consultant - Forensic Data Analytics

EY · Melbourne

New
Senior 🇬🇧 English
SQL Alteryx Python Power BI Tableau Azure AWS Spark Hadoop Elasticsearch

Job description

About the role

EY's Forensic & Integrity Services helps organisations protect and restore their reputation, investigate facts, resolve disputes and manage regulatory challenges. As a Senior Consultant in the Forensic Data Analytics team, you will work across anti-money laundering, corruption, fraud, commercial disputes, business integrity, transaction disputes, fraud prevention and compliance programme development. Engagements involve large datasets from many sources, and the role can be performed from any EY office in Australia, with possible flexible hours.

Key responsibilities

  • Use advanced data analytic tools to generate insights supporting fraud investigations, disputes and regulatory compliance.
  • Work with the wider Forensics team and stakeholders, developing forensic procedures, defining data metrics and designing investigative analysis.
  • Extract, validate, transform and load high-volume structured and unstructured data from sources such as ERP and accounting systems.
  • Develop algorithms, data mining and analytic solutions to detect fraud, bribery and corruption, irregular transactions, anomalous behaviour and waste.
  • Support senior team members in preparing and presenting client deliverables, using visualisation software.
  • Work in multi-disciplinary teams across industries.

Required profile

  • Ability to explain technical information simply and collaborate across functions.
  • Strong problem-solving and critical thinking, with clear presentation of data, conclusions and recommendations.
  • Ideally academic or professional experience in a technical field such as Computer Science, Business Analytics, Information Systems, Finance, Statistics, Economics, Commerce or Mathematics.

Required skills

  • SQL and statistical techniques (regression, clustering) and tools such as Alteryx, Python, R or similar.
  • Preferred: data visualisation tools such as Power BI or Tableau.
  • Nice to have: Azure/AWS, SQL Server, PostgreSQL, Oracle, MySQL, machine learning, Spark, Elasticsearch, Hadoop, and working knowledge of financial processes.

What we offer

  • Career development and flexible work arrangements.
  • Benefits including a yearly wellness incentive, extra flex leave and family-friendly policies.
  • Competitive salary open to negotiation depending on skills and experience.

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Published 11 hours ago

Expires 1 month from now

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EY

Melbourne