Forensic Data Analytics Intern – Detect Fraud & Insights

Ernst & Young Solutions LLP

Singapore

On-site

SGD 60,000 - 120,000

Full time

10 days ago

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Job summary

EY’s Forensic Data Analytics (FDA) practice in Singapore specializes in data-focused investigations, regulatory compliance and disputes. You’ll work with large datasets from diverse sources to uncover evidences of fraud, using ETL, analytics and visualization tools.

Ideal candidates bring a STEM degree and strong skills in SQL, Python, R and data visualization, with proven problem-solving and communication abilities.

Qualifications

  • Strong academic qualifications in a STEM discipline or equivalent work experience.
  • Proficiency in SQL and knowledge of Python, R, and data visualization techniques.
  • Strong problem solving and analytical skills with ability to communicate complex ideas.

Responsibilities

  • Collaborate with fraud investigators, auditors, lawyers and regulators on data analysis to identify fraud evidence.
  • Analyze and mine data to detect known and unknown fraud patterns.
  • Ingest and analyze large structured and unstructured data from ERP and accounting systems.
  • Perform end-to-end data analysis using ETL, analytics, visualization and delivery to clients.
  • Develop algorithms to detect and monitor areas of fraud and financial crime.
  • Create visualizations to clearly present analysis benefits to clients.
  • Support end-to-end engagement lifecycle from data extraction to client delivery.
  • Coordinate with technology and innovation teams across engagements.

Skills

SQL
Python
R
Data Visualization
Analytical thinking
Communication
Problem solving

Education

STEM degree

Job description

EY’s Forensic Data Analytics (FDA) practice in Singapore specializes in data-focused investigations, regulatory compliance and disputes. You’ll work with large datasets from diverse sources to uncover evidences of fraud, using ETL, analytics and visualization tools.

Ideal candidates bring a STEM degree and strong skills in SQL, Python, R and data visualization, with proven problem-solving and communication abilities.

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