Data Analyst at uobgroup

Type: Full-time
Level: not_specified

Description

This role involves conducting data analytics to identify patterns related to money laundering and sanctions, proposing linked analyses on various financial crime aspects like front/shell companies, eKYC, and mules, and coordinating intelligence sharing for reporting purposes.

Required Skills

Data Analysis
Money Laundering
Sanctions
Linked Analysis
Intelligence Sharing

Additional Information

Minimum Education: Master's Degree or Professional Qualification from Recognized University
Required Previous Experiences: 3-5 years of overall experience in general financial crime compliance (fraud/sanctions/anti-money laundering) or intelligence.
Preferred Qualifications: Working knowledge of Microsoft Office Suite (Excel, Word, PowerPoint) or equivalent presentation software.
Experience with Data Analytic tools such as Qlik Sense, Power BI, or Hue.
Interest in performing audit processes and reviewing methods, with an interest in big data analytics.
Highly self-motivated individual who contributes effectively to the team.
Inquisitive mindset and a strong willingness to continuously learn.
Strong problem-solving and decision-making abilities.
Excellent written communication skills and the ability to present issues and propose solutions to management.