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Join EY and help to build a better working world.

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The Opportunity

EY's Forensic Data Analytics (FDA) practice is a global, data-focused team within the Forensic & Integrity Services (FIS) department. Our team supports clients in dealing with the complex issues of fraud, regulatory compliance, and business disputes.

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 technology 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.

Your Key Responsibilities

Work with clients, fraud investigators, internal and external auditors, lawyers and regulatory authorities in sensitive situations and assist on conducting data analysis for identifying evidences of fraud, abuse and wastage.
Analyse and mine the data using different analytical techniques to identify both known and unknown patterns of fraud.
Collect and analyse a large amount of structured and unstructured data from a variety of data sources including ERP systems, accounting systems and others.
Carry out both reactive and proactive data analysis of large datasets using a wide range of technologies, database management systems, business information reporting and visualisation software.
Develop algorithms and solutions to detect, respond, prevent, continually monitor and investigate areas of fraud, bribery & corruption, misconduct and financial crime.
Develop supporting material using a suite of visualisation software to clearly present the benefits of the analysis to clients.
Execute end-to-end lifecycle of the engagement - Data extraction, transformation, loading (ETL), analysis, visualisation, deployment and client delivery.
Align to various strategic teams in the areas of technology and innovation

Skills And Attributes For Success

Strong academic qualifications with a degree in a STEM discipline (Computer Science, Engineering, Statistics, Mathematics, etc.) or equivalent work experience.
Demonstrate proficiency in SQL and a broad awareness of programming languages such as Python, R as well as Visualization techniques.
Strong problem solving, analytical, technical, and interpersonal skills.
Strong critical thinking, problem-solving skills, understanding of algorithms and appreciation of working with data.
Excellent communication skills and ability to explain complex analytical concepts to stakeholders from different backgrounds.
Excellent documentation skills with the ability to prioritize when working on multiple engagements.
The ability to travel to client locations.
Previous consulting experience and experience with any of the below areas would be an added benefit:

Relational databases, e.g. SQL Server, PostgreSQL, Oracle, MySQL;
Data visualisation software: Spotfire, Tableau, or Power BI;
Azure/AWS cloud computing platform;
Big data technologies such as Spark, Elasticsearch, Hadoop;
Statistical techniques (regression, clustering etc.);
Machine learning, pattern recognition, NLP etc.

Note

You are required to upload your latest resume and academic transcripts together with your online application.
Due to high volume of applications, only shortlisted candidates will be contacted.
To help create an equitable and inclusive experience during the recruitment process, please inform us as soon as possible about any disability-related adjustments or accommodations you may need.

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Associate - Assurance, Forensic - Data Analytics