Currently pursuing a Bachelor’s Degree in Data Analytics, Data Science, Computer Science, Statistics, Business Analytics, Information Systems, or a related field.
Basic knowledge of data analysis concepts and data visualisation.
Experience: 5+ years of relevant finance experience, with a mandatory background in manufacturing environments and familiarity with Multi-National Corporation (MNC) cultures.
Technical Financial Expertise: Solid, hands-on experience in Balance Sheet reviews, Internal Audit/Control, and Tax management.
Capex Proficiency: Demonstrated experience in managing the full Capex lifecycle, including rigorous ROI analysis.
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A Bachelor’s degree in Finance, Accounting, Business, Economics, Data Analytics, Information Systems, or a related discipline. Candidates with data analytics, Power BI, and automation experience alongside compliance or risk knowledge will have an advantage.
At least 2 years’ relevant experience in risk management and/or compliance within fund management, banking, or insurance.
Strong knowledge of applicable policies, laws, regulations, and professional standards, preferably within the capital markets environment.
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Policy and Process Documentation Writing & Legal Awareness – Strong understanding of HR policy frameworks, employment law and HR processes. Effective written, oral communication and interpersonal relation skills; strong attention to detail in composing and proofing communications & reports
Project Management – Ability to manage timelines, deliverables, and cross-functional coordination. Manage and prioritize multiple tasks and/or projects with minimal supervision; follow through tasks assigned and issues in a timely manner.
MS Office applications, MS Visio and Digital Fluency – Proficiency in tools such as Microsoft 365 (including Excel, Visio, Words), SharePoint, Power BI, and HRIS platforms.
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Education: Bachelor’s degree in Design, Computer Science, Business, Engineering, or a related discipline (or equivalent practical experience).
Core Design Skills: Strong proficiency in modern design tools (Figma, Sketch, or Adobe XD) and a solid grasp of user-centered design, information architecture, and accessibility.
Product Execution & QA: Hands-on experience or familiarity with the full Software Development Lifecycle (SDLC) - including story grooming, developer handoff, basic QA testing, and release workflows.
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Currently pursuing a Bachelor's Degree in Data Science, Computer Science, Statistics, Mathematics, Artificial Intelligence, Information Technology, or a related discipline.
Basic understanding of statistics, data analysis, and machine learning concepts.
Familiarity with Python or R for data analysis.
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Studying or graduated in Data Analytics, Data Science, Statistics, Data Engineering, Computer Science, Business, or related field — but open to other degrees if you have a keen interest in IT/AI and have built vibe-coded projects (using tools like Claude, Codex, ChatGPT, etc.)
Sound analytical thinking — able to interpret data, spot patterns, and draw logical conclusions