SalaryPeak

1 Year Contract Bank AML & Sanctions Risk - Data Analyst #BLM

RECRUIT EXPRESS PTE LTD
Singapore 2+ years Posted Mar 7, 2026

Salary Range

SGD 48,000 - SGD 72,000 /year

SGD 4,000 - SGD 6,000/month

Skills Required

TableauRegulatory Risk AssessmentSubject Matter Expertlarge datasetsKnow Your Client - KYCVBA ExcelBanking OperationsFinancial Crime Laws and RegulationsEconomic SanctionsSQLPythonData AnalyticsPower BIFinancial Services

Job Description

Jobs Responsibilities

• Provide subject matter expertise on AML/CFT, Sanctions and FATCA/CRS matters, supporting the business on financial crime compliance risk advisory.

• Drive the enhancement of the bank’s AML/CFT and Sanctions risk detection framework through the use of data analytics, insights and trend analysis.

• Identify emerging financial crime trends, typologies and red flags through data driven analysis and propose risk mitigation strategies.

• Partner with internal data scientists and technology teams to design and implement analytics driven solutions to strengthen financial crime controls.

• Analyse large datasets across multiple systems to uncover risk patterns, suspicious behaviours and anomalies relating to AML/CFT and Sanctions risks.

• Develop interactive dashboards and visualisations using tools such as Power BI, Tableau or QlikView to provide actionable insights to senior stakeholders.

• Support strategic AML initiatives and regulatory programmes under the AML Strategic Uplift roadmap, ensuring key milestones are met.

• Work closely with Business Units, Compliance and Risk teams to address audit queries, regulatory reviews and control reporting related to financial crime risk.

• Prepare periodic reporting and presentations for senior management on financial crime risk trends, analytics outcomes and control effectiveness.

• Conduct training and knowledge sharing with business units on AML/CFT, Sanctions and FATCA/CRS frameworks and emerging financial crime risks.

Job Requirements

2-3 years of experience in Financial Crime Compliance (AML/CFT, Sanctions, KYC) within banking or financial services, with good understanding of AML typologies and regulatory frameworks

Strong data analytics capabilities, with experience working with large datasets and familiarity with tools such as Power BI, Tableau, SQL, Python or Excel VBA

Strong analytical, stakeholder management and communication skills, with ability to translate data insights into risk trends, reporting and actionable solutions in a fast paced environment

Application Procedures

Interested candidates, please email your resume to:

Attention: Lynn Mak Ling Ling (CEI No. R1986990)

[email protected]

Recruit Express Pte Ltd (EA No. 99C4599)

We regret that only shortlisted candidates will be notified.