Data Analytics Investigator — Forensic FDA Associate

EY; Singapore; On-site; SGD 90,000 - 130,000; Full time

Job summary

EY Forensic & Integrity Services in Singapore seeks a data analytics professional to join its Forensics team, focusing on data-driven investigations, fraud analytics and regulatory challenges. You will work with large datasets, apply statistical methods, and communicate findings to stakeholders across disciplines.

The role requires strong SQL, Python and R skills, experience with visualization tools, and the ability to travel.

Qualifications

• Degree in Computer Science, IT or related field.
• Solid knowledge of SQL and programming languages such as Python, R as well as Visualization techniques.
• Strong verbal and written communication skills.
• Ability to prioritize when working on multiple engagements.
• Strong problem solving, analytical, technical, and interpersonal skills.
• Ability to travel.

Responsibilities

• Collect and analyse large volume of structured and unstructured data from various sources.
• Collaborate with investigators, auditors, lawyers and regulators in sensitive situations.
• Apply analytical techniques to identify patterns of fraud or abuses.
• Perform end-to-end data analysis using ETL, visualization and reporting tools.
• Document procedures and present findings clearly to non-technical audiences.
• Work under tight timelines and deliver high-quality outputs.
• Stay updated on forensic technology developments and contribute to new solutions.

Skills

SQL

Python

R

Data Visualization

Education

Bachelor's degree in Computer Science/IT

Tools

SQL Server

PostgreSQL

Oracle

MySQL

Tableau

Power BI

Spotfire

Spark

Elasticsearch

Hadoop

Azure

AWS

Job description

EY Forensic & Integrity Services in Singapore seeks a data analytics professional to join its Forensics team, focusing on data-driven investigations, fraud analytics and regulatory challenges. You will work with large datasets, apply statistical methods, and communicate findings to stakeholders across disciplines.

The role requires strong SQL, Python and R skills, experience with visualization tools, and the ability to travel.