Intern - Assurance, Forensic - Data Analytics (Jan - June 2027)

Ernst & Young; Singapore; On-site; SGD 20,000 - 27,000; Full time

Benefits offered by this job

Continuous learning

Diverse and inclusive culture

EY professional development

Job summary

EY’s Forensic Data Analytics (FDA) practice is a global, data-focused team within the Forensic & Integrity Services department. This internship provides exposure to data discovery, capture, and reporting across large, diverse datasets to support investigations and risk detection.

Join EY to learn techniques from fraud investigators, analysts, and auditors, and contribute to end-to-end data projects using industry-standard tools.

Qualifications

• Strong academic qualifications 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.
• Excellent communication skills and ability to explain complex analytical concepts to stakeholders from different backgrounds.

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

Data analytics

Problem solving

Communication

Team collaboration

Education

STEM degree or equivalent

Tools

SQL

Python

R

Data Visualization

Job description

Intern - Assurance, Forensic - Data Analytics (Jan - June 2027)

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.

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:

To qualify for the role, you must have:

Strong academic qualifications 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.

Ideally, you’ll also have:

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;

Big data technologies such as Spark, Elasticsearch, Hadoop;

What we offer:

• Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next.
• Success as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way.
• Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs.
• Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs.

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.

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.