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

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)

[Confidential Information]

Recruit Express Pte Ltd (EA No. 99C4599)

We regret that only shortlisted candidates will be notified.