Strategic Financial Crime Intelligence & Analytics Analyst

D L RESOURCES PTE LTD

Singapore

On-site

SGD 90,000 - 130,000

Full time

14 days+
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Job summary

D L RESOURCES PTE LTD is seeking an experienced Financial Crime Intelligence Analyst in Singapore to support AFC intelligence and data analytics within the bank. The role focuses on AML investigations, intelligence collection, and COSMIC information sharing to identify ML/TF risks and emerging typologies.

You will work with multiple data sources, deliver actionable intelligence, and advise stakeholders on risk mitigation.

Qualifications

  • Strong understanding of AML/CFT and financial crime risks.
  • Experience using online research tools, intelligence databases and data analytics tools.
  • Ability to translate analytical findings into clear conclusions and recommendations.
  • Diploma or Degree in Finance, Business, Analytics, Information Systems or a related discipline.

Responsibilities

  • Collect, analyse and enrich AFC intelligence from multiple information sources.
  • Conduct investigative research using authorities, regulatory and open-source publications.
  • Perform operational intelligence analysis to identify customers, entities and networks at risk.
  • Analyse relationships across customers, accounts, transactions, counterparties and jurisdictions.
  • Conduct strategic intelligence analysis to identify emerging ML/TF trends and typologies.
  • Assess impact of local and international financial crime developments on the Bank.

Skills

AML Investigations
Financial Crime Intelligence
Data Analytics
Investigative Research
Transaction Analysis
Network Analysis
Regulatory Knowledge
Strong Communication
Stakeholder Management

Education

Diploma/Degree in Finance or Analytics

Tools

SQL
Excel
Power BI
Tableau
Python

Job description

D L RESOURCES PTE LTD is seeking an experienced Financial Crime Intelligence Analyst in Singapore to support AFC intelligence and data analytics within the bank. The role focuses on AML investigations, intelligence collection, and COSMIC information sharing to identify ML/TF risks and emerging typologies.

You will work with multiple data sources, deliver actionable intelligence, and advise stakeholders on risk mitigation.

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