Job Description

Business Function:

Corporate and Investment Banking provides corporate customers with a full range of commercial banking products and services, including cash management services, current accounts, time deposits, trade finance, working capital finance, term loans and foreign exchange. Through our continued commitment, DBS has cultivated long-standing relationships with its customers in the region that are based on account relationship management, service differentiation, product development and rigorous credit standards.

Job Purpose:

The role is part of the AML/ KYC team within the Group COO Office in the Institutional Banking Group. He/she will lead a team of analysts in driving data and analysis-related tasks to manage both ML/TF risks as well as improve IBG controls and processes through data insights and analytical trends.

Responsibilities:

• Lead a team of KYC analysts to drive and perform KYC-related data analysis for insights discovery. Act as data translator to communicate meaningful data insights to facilitate management decisions on AML/KYC related matters.
• Use data and innovative solutions to increase value to the business and reduce costs of CDD related activities.
• Collaborate with stakeholders on name screening related initiatives and provide business requirements to enhance design, functionality and user experience pertaining to screening platforms.
• Support change management projects by automating manual processes, managing change management and issue management. Work with relevant KYC teams on action items arising from internal/external audits and inspections.
• Coordinate with overseas offices for MIS reporting (regulatory and senior management) on AML/KYC related metrics

• A Bachelor Degree in a quantitative discipline - Computer Science, Engineering, Technology, Mathematics etc.
• ACAMS qualification is a plus
• 10 - 12 years of relevant institutional banking experience in financial crime risk management and/or data analytics/modeling (preferably in the banking industry), with relevant knowledge of prevailing AML/KYC regulations.
• Quantitative mind-set, with a desire to work in a data-intensive environment and able to understand and organize large data sets.
• Knowledge of financial crime risks, money laundering and sanctions
• Ability to be client centric while balancing risk and controls
• Able to manage a diverse group of internal stakeholders to drive discussions and achieve balance between operational efficiency and risk management effectiveness.
• Project management experience relating to onboarding, periodic and trigger review policy, procedures and processes

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