The role requires strong hands-on experience in banking data structures, regulatory and compliance processes, data transformation and business analysis, with the ability to translate complex business and regulatory requirements into functional specifications and implementable solutions.
The candidate will also support regional and multi-country banking initiatives involving multiple business and technology stakeholders.
Perform enhanced due diligence for customers with higher AML risk ratings, addressing complex compliance issues.
Conduct Source of Wealth review in accordance with regulatory and industry standards and advise on assessment and corroboration gaps; perform subsequent uplift to required standards.
Provide support to the Compliance function by handling ad hoc queries, evaluating sanctions alerts, and investigating transaction monitoring alerts for potential fraud.
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Strong presentation skills and proficiency in the use of PowerPoint, Word and Excel
Minimum 3 years’ experience in the Financial Services industry, having worked with firms like asset managers, private banks or wealth managers, sovereign wealth funds, pension funds, private equity firms or hedge funds
Academic background in Engineering, IT, Business, Economics, Finance or Accounting
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Provide end-to-end transaction management, monitoring, and settlement support for GFM products.
To provide timely, accurate, and complete trade validation, market operations, settlements, and corporate action processing, failed trade management, including timely and accurate resolution of post-settlement breaks.
Interact and manage all routine matters and inquiries from internal and external clients promptly and professionally.
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Maintain accurate bond-related attributes (coupon, maturity, day count, settlement conventions, corporate action events) by bridging data between Bloomberg and custodian sources.
Conduct root cause analysis for risk items and identify data integrity enhancement opportunities.
Leverage AI and technology tools to improve testing efficiency, issue tracking, and project coordination.
Support data clean-up, quality remediation, and stocktake of process documentation and SOPs, with the objective of achieving clean, well-governed, and structured data ready for AI training and analytics.
Support automation and digital enablement initiatives to reduce manual effort, including AI-enabled solutions where relevant.
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