Performance Analytics Associate — Data, Automation & Python

Temasek Holdings; Singapore; On-site; SGD 89,000 - 123,000; Part time

Job summary

Temasek Holdings is seeking an Associate/Senior Associate for the Performance Analytics (Policy) team on a 12-month contract in Singapore. The role focuses on maintaining the CoC framework, driving data-driven analysis, and automating reporting workflows to support investment evaluation and performance reporting.

You will work with PA and technology teams to test new metrics, reconcile data across systems, and prepare performance reports for internal and external stakeholders, leveraging Python,

Qualifications

• Tertiary qualification in Finance, Accounting, Business, Economics or a related discipline, with a strong foundation in financial and quantitative analysis.
• Strong logical and analytical capabilities, with the experience and ability to work with huge financial dataset, understand processes, methodologies and translate analysis into meaningful insights.
• Strong interpersonal and communication skills, with the ability to work independently and collaboratively across business and technology teams. Meticulous and detail-oriented, with a strong focus on data accuracy and quality.
• Strong digital fluency, with practical experience using Python for data extraction, transformation, analysis and/or workflow automation, and an ability to identify opportunities to improve processes through technology.
• Proficiency in Microsoft Excel and PowerPoint. Prior experience with Bloomberg, FactSet, Qlik Sense and/or UiPath would be an advantage.

Responsibilities

• Maintain and regularly update market parameters used in the Cost of Capital (CoC) framework to support investment evaluation and monitoring.
• Support the PA team in research and analysis relating to the CoC framework, including academic research, market practices and application to new asset classes.
• Perform analytical and data-driven work to support the ongoing implementation and enhancement of the CoC framework.
• Work closely with the PA team and technology developers to perform user acceptance testing (UAT) of new metrics and enhancements to the performance calculation engine.
• Perform monthly reconciliation across systems to ensure position and transaction data for listed and unlisted investments are accurately captured for performance calculations.
• Generate recurring investment performance reports and support the provision of performance information to internal and external stakeholders.
• Support monthly reporting and annual performance reporting / audit processes, including preparation and validation of underlying data and calculations.
• Identify, investigate and follow up on data quality issues and reporting exceptions, working with relevant stakeholders to resolve them.
• Identify opportunities to streamline and automate recurring data, reconciliation and reporting workflows, reducing manual effort and improving process efficiency.
• Leverage technology tools and platforms to enhance performance analytics, reporting and data management processes.
• Use Python and relevant data libraries to automate data extraction, transformation, validation and reconciliation.
• Support the development of more scalable and controlled workflows, including appropriate documentation and validation of automated processes.

Skills

Python

Excel

PowerPoint

Data analysis

Bloomberg

FactSet

Qlik Sense

UiPath

Education

Tertiary qualification in Finance/Accounting/Business/Economics

Tools

Bloomberg

FactSet

Qlik Sense

UiPath

Job description

Temasek Holdings is seeking an Associate/Senior Associate for the Performance Analytics (Policy) team on a 12-month contract in Singapore. The role focuses on maintaining the CoC framework, driving data-driven analysis, and automating reporting workflows to support investment evaluation and performance reporting.

You will work with PA and technology teams to test new metrics, reconcile data across systems, and prepare performance reports for internal and external stakeholders, leveraging Python,