Associate - Assurance, Forensic - Data Analytics (2026 Graduates)

Ernst & Young; Singapore; On-site; SGD 45,000 - 65,000; Full time

Job summary

A global consulting firm located in Singapore is seeking an Associate in Assurance, Forensic - Data Analytics. This role involves analyzing data to identify fraud and ensure compliance. Candidates should have a STEM degree and proficiency in SQL and analytical techniques. Responsibilities include data collection from various sources and developing algorithms to prevent financial misconduct. The position demands strong problem-solving and communication skills, with opportunities for professional development in data-focused environments.

Qualifications

• Strong academic qualifications with a degree in a STEM discipline or equivalent work experience.
• Demonstrate proficiency in SQL and familiarity with Python and R.
• Excellent documentation skills and ability to prioritize tasks.

Responsibilities

• Conduct data analysis to identify evidence of fraud, abuse, and wastage.
• Collect and analyze structured and unstructured data from various sources.
• Develop algorithms to detect and prevent financial crime.

Skills

Proficiency in SQL

Programming languages (Python, R)

Analytical techniques

Data visualization techniques

Problem-solving skills

Strong communication skills

Education

Degree in a STEM discipline (Computer Science, Engineering, Statistics, Mathematics)

Tools

SQL Server

PostgreSQL

Oracle

MySQL

Spotfire

Tableau

Power BI

Azure

AWS

Spark

Elasticsearch

Hadoop

Job description

Associate - Assurance, Forensic - Data Analytics (2026 Graduates)

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.

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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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EY | Building a better working world

EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets.

Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.

EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.