Assistant VP

Temasek is a global investment company headquartered in Singapore, with a net portfolio value of S$434 billion (US$324 billion, €299 billion, £250 billion, and RMB2.35 trillion) as at 31 March 2025. Marking our unlisted assets to market would provide S$35 billion of value uplift and bring our mark to market net portfolio value to S$469 billion. Our Purpose So Every Generation Prospers guides us to make a difference for today's and future generations. Operating on commercial principles, we seek to deliver sustainable returns over the long term. We have 13 offices in 9 countries around the world: Beijing, Hanoi, Mumbai, Shanghai, Shenzhen, and Singapore in Asia; and Brussels, London, Mexico City, New York, Paris, San Francisco, and Washington, DC outside Asia. For more information on Temasek, please visit www.temasek.com.sg . For Temasek Review 2025, please visit www.temasekreview.com.sg . For Sustainability Report 2025, please visit https://www.temasek.com.sg/content/dam/temasek-corporate/sustainability/2025/Temasek-Sustainability-Report-2025.pdf . Responsibilities Provide core data solutions, insights and expertise in response to evolving business needs in market events, risk management, regulatory change, and new financial products. Manage and oversee end to end data operations activities on SCD. This includes monitor, analyse, investigate, and resolve day-to-day operational incidents and advisory to users. Design data quality checks and performance KPIs metrics to assess data health and detect deficiencies and improvement with our data sources or internal data processes. Develop a thorough knowledge of Simcorp Dimension capabilities and improve our ability to scale implementation efforts to support new investment activities in a timely and agile fashion Maintain the pipeline for delivery in the year and work with the stakeholders to prioritize demand based on the capacity to deliver Identify and improve data management process through analysing systems operations data (SLAs, delivery quality, team efficiency etc.) for continuous improvements Lead and complete various efficiency and capacity-building initiatives, including automation/ standardization efforts. Contribute to the overall data strategy for Investment Services in response to the changing external data landscape as well as integrating modern data management solutions into business processes Stay abreast of new and evolving business requirements and market trends to align our data capabilities to meet business needs Actively participate in new data initiatives and projects Provide coaching and guidance to juniors Requirements Bachelor or Master's Degree in Business Analytics, Statistics, Computing or equivalent STEM with quantitative/ mathematical background Min 5-7 years of experience in data governance, data management and data analytics in asset management, investment, and banking industry Experience in data visualization tools like Tableau or Qlik Sense, R/Python and SQL Experience would be an advantage. Additional qualifications like CFA, CIPM, FRM would be favourably considered. Deep domain expertise on investment product knowledge and strong familiarity with the investment lifecycle across public and private asset classes Demonstrated success in applying the principles, key controls and processes relating to data management Experienced in data warehouse, data models, data management tools and data extraction (such as SQL, Python) and data visualisation tools such as Tableau is preferred Experience with usage of Simcorp Dimension will be an advantage Excellent interpersonal and communication skills, with consistent track record of building strong relationships and ability to manage different levels of stakeholders across the organization and navigate through conflicts and differences competently and with ease. Excellent analytical ability, capable of using digital literacy to unlock hidden solutions Well-organized with the ability to lead several contending priorities while retaining an acute attention to detail Ability to think strategically yet operate at a tactical level. Enthusiastic and comfortable with working in a high pressure and fast-paced environment while maintaining quality and the integrity of investment data. Experienced with agile methodologies like Scrum and Kanban is a plus