Knowledge: Extensive knowledge of accounting standards (MFRS, IFRS) and asset management regulatory requirements, with proficiency in local regulations like Securities Commission guidelines, tax compliance for investment funds, income distribution processes, and investor reporting duties.
Skills: Demonstrates strong attention to detail, analytical problem-solving, and effective communication skills, combined with the ability to thrive under pressure, meet tight deadlines, and manage multiple priorities. Excels in fostering collaboration with internal teams such as Finance, Investment Operations, Investment and Customer Service, as well as external partners like bankers, custodians, and auditors.
Experiences: Minimum of 2-4 years of experience in fund accounting or related roles within asset management or financial services, with expertise in NAV calculations, securities pricing, financial reporting, and familiarity with auditing processes and collaboration with external auditors and tax agents.
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• Bachelor's or Master's Degree in Electrical Engineering, Electronics Engineering, Computer Science, Computer Engineering, or a related field.
• Minimum 8 years of experience in hardware test development, preferably in enterprise switches/servers, storage, networking, or telecommunications products.
• Minimum 3 years of leadership experience managing engineering teams and cross-functional projects.
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2 to 5 years of working experience as a Business Analyst or in a similar business analysis role.
Experience in the Financial Services Industry is highly preferred, particularly in banking, fintech, insurance, payments, lending, compliance, risk, digital banking, or related areas.
Strong experience in end-to-end business analysis activities, including requirement gathering, documentation, process mapping, testing support, implementation, and post go live support.
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Experience in quantitative research projects during the Final Year Project or similar practical exposure is preferred.
Proficient in Microsoft Office Suite (Word, Excel, PowerPoint), internet navigation, and electronic communication; familiarity with SPSS, Power BI, and Excel Power Query is a plus.
Strong logical reasoning, problem-solving, and analytical capabilities are essential.
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