Data Analytics Intern – Forensic Insight & Fraud Detection

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

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.