Associate Analyst, Data Analytics, Risk & Reporting, Treasury Risk & Infrastructure

Responsibilities

Monitor and identify critical data gaps, issues and new business requirements, and explore new data sources, methods and techniques to offer prompt and meaningful resolutions. Implement cost optimization strategies in data management and analytics processes to ensure resource efficiency and budget compliance while maintaining high standards of data quality and service delivery. Collaborate with cross-functional teams to ensure data systems and strategies align with the department's overall objectives, fostering a culture of data-driven decision-making. Ensure system documentation and operations manual are comprehensive and current. Data Analytics and Reporting

Develop and implement business process automation and enhancement for users\' reports, data visualizations and operational workflows, to support current and future data requirements. Keep abreast with the latest developments and trends in data analytics and management to align with industry standards and best practices, recommending new technologies and solutions that can enhance the department's data capabilities. Assist in troubleshooting data-related issues and optimize reporting processes. Measure and report performance of investment portfolios and in-depth performance attribution and analysis on risk adjusted return. Analyze and communicate risk metrics such as VaR and TE to help to assess portfolio risk exposures. Data Management

Devise and implement effective data management and analytics strategies to ensure data accuracy, integrity and security. Control, manage and ensure data flows are functioning efficiently and reach the intended end users and systems in a timely manner. Liaise with data providers, system vendors and DTS for creation and maintenance of data pipeline. Ensure effective and efficient functioning of the middle office systems and provide support in static data creation for the treasury system to mitigate any operational risks for the department. Qualifications

Academic Qualifications : Degree or professional qualifications in Actuarial Science, Mathematics, Computer Science, Information Technology, Engineering, Data Science or equivalent degree. Experience : At least 2 years’ experience in data management, analytics or a related field. Have a good understanding in data requirements within the financial system and treasury-related operations, as well as the technical aspects of investment assets. Job Benefits

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