Senior AML & Data Governance Consultant

ABeam Consulting; Singapore; On-site; SGD 90,000 - 140,000; Full time

Job summary

ABeam Consulting in Singapore is seeking an AML governance and data governance specialist to document, assess, and strengthen controls across banking and financial services clients. You will conduct gap analyses, design remediation plans, and partner with Compliance, IT, and risk teams to implement sustainable improvements.

You will lead assessments of processes, data lineage, and control effectiveness, prepare management reports, and communicate complex findings clearly in English to

Qualifications

• Bachelor’s degree in Business, Finance, Accounting, Risk Management, Information Systems, or a related discipline.
• Minimum 3 years of experience in banking, financial services, or consulting, supporting banking or financial institution clients.
• Knowledge of AML/CFT frameworks, regulations, and operational processes, including KYC, Transaction Monitoring, Transaction Filtering, and Name Screening.
• Experience in evaluating and enhancing business processes, governance frameworks, risk management practices, and internal controls.
• Exposure to model risk governance, data governance, compliance, risk management, independent reviews, or control effectiveness assessments is advantageous.
• Strong analytical skills with the ability to understand and map complex business processes, governance structures, controls, and validation activities.
• Ability to perform gap assessments against internal policies, regulatory requirements, and industry standards, and identify risks and improvement opportunities.
• Experience assessing the design, implementation, and effectiveness of business processes and controls, and developing practical remediation recommendations.
• Ability to analyze issues, determine root causes, assess business impacts, and recommend sustainable solutions.
• Demonstrated ability to work independently, exercise sound judgment, and proactively drive assigned responsibilities to completion.
• Strong project management skills, with the ability to manage priorities, timelines, risks, issues, and deliverable quality in a fast-paced environment.
• Proven stakeholder management skills with the ability to collaborate effectively across business, Compliance, Model Risk Management, IT, and regional teams.
• Ability to conduct stakeholder interviews, gather and validate requirements, clarify issues, and facilitate alignment and consensus among diverse stakeholder groups.
• Excellent written and verbal communication skills in English, with the ability to present complex findings, assessments, and recommendations clearly to management and stakeholders.
• Ability to review and interpret system documentation, including design documents, specifications, data flows, and processing logic.
• Understanding of system functions, key data elements, data lineage, and their relationship to business processes and controls.
• Advanced proficiency in Microsoft PowerPoint, Excel, and Word.
• Strong documentation and presentation skills, with the ability to prepare clear, structured, and high-quality reports, presentations, and project deliverables.
• Experience preparing and maintaining data governance artifacts, including data dictionaries, data flow documentation, and Key Data Element (KDE) inventories.
• Familiarity with planning and conducting periodic data governance validation and review activities.
• Business-level proficiency in Japanese is mandatory to effectively engage, communicate, and collaborate with Japanese-speaking stakeholders and clients.

Responsibilities

• Understand and document existing AML model risk governance and data governance processes, systems, governance frameworks, controls, and periodic validation activities.
• Conduct gap analyses to identify risks, control weaknesses, and improvement opportunities against internal policies, regulatory requirements, and industry best practices.
• Assess the design, implementation, and operating effectiveness of business processes and controls across AML functions and supporting systems.
• Develop remediation plans for identified control gaps and process deficiencies, and partner with stakeholders to drive implementation and issue resolution.
• Perform analysis of transaction, alert, and other relevant data to evaluate control effectiveness, identify root causes, and recommend process enhancements.
• Engage and collaborate with business, Compliance, Model Risk Management, IT, and APAC stakeholders to gather requirements, conduct interviews, and achieve alignment on key initiatives.
• Prepare and present assessment findings, risk evaluations, recommendations, management reports, meeting materials, and other project deliverables.
• Document observations, issues, and actionable recommendations clearly and concisely for both management and project stakeholders.
• Proactively identify project activities, key risks, issues, dependencies, and next steps, exercising sound judgment to advance deliverables independently.
• Manage project plans, timelines, risks, issues, and deliverable quality to ensure successful and timely completion of assigned responsibilities.
• Monitor progress of remediation activities and provide ongoing follow-up to ensure effective and sustainable implementation of agreed actions.
• Support continuous improvement initiatives by recommending enhancements to AML governance, controls, processes, and data management practices.

Skills

AML governance

Data governance

Risk assessment

Stakeholder management

Analytical thinking

Project management

Education

Bachelor’s degree in Business, Finance, Accounting, Risk Management, Information Systems

Tools

PowerPoint

Excel

Word

Job description

ABeam Consulting in Singapore is seeking an AML governance and data governance specialist to document, assess, and strengthen controls across banking and financial services clients. You will conduct gap analyses, design remediation plans, and partner with Compliance, IT, and risk teams to implement sustainable improvements.

You will lead assessments of processes, data lineage, and control effectiveness, prepare management reports, and communicate complex findings clearly in English to