Associate, Investments Data Specialist
2 days ago
About Khazanah Nasional ("Khazanah")
Khazanah is Malaysia's sovereign wealth fund that was established in 1994 with commitment to invest and deliver sustainable value for Malaysians. We strive to find balance between growing financial returns with appropriate risk-adjusted financial returns and developmental investments that deliver identified socio-economic impact to benefit future generations.
By joining us, you will be working in an environment that upholds core values of professionalism, diligence, teamwork, integrity, and mutual respect. We offer a dynamic, intellectually rigorous, and growth-oriented environment for your personal and professional growth.
Who we are: CIO Office
The CIO Office was established to institutionalize performance management and stewardship of the Portfolio as well as enhance capabilities of the Investments Division in Khazanah. There are 6 units within the CIO Office:
- Performance Reporting and Analytics ('PRA')
- Investment Strategy & Asset Allocation ('ISAA')
- Investments Monitoring ('IM')
- Stewardship
- Investments Compliance
- Division Administrative Support
The CIO Office is the strategic and operational engine room of the Investments Division in Khazanah.
Core Objectives:
Following the digital initiatives within the organization, Khazanah Data Programme, NextGen, the business need for specialists increased to manage data flows, mapping, and governance across multiple systems to continuously facilitate data-driven decision-making.
Who do we seek: Values and Characteristics
We are looking for individuals who possess the following criteria:
- High level of integrity
- Intellectual curiosity and open-mindedness
- Flexible, dynamic and agile individuals
- Big picture and detail-oriented at the same time
- Emotional intelligence and awareness
- A team player
- Know-how and strong interest in one or more of the following areas:
- Functional understanding of investment concepts with deep appreciation of investment performance measurements to be able to support the unit effectively to meet the business data requests and analysis
- Adept with data and transforming it into information including visuals, analysis to help answer business questions and attribute them to drivers of performance - for structured and unstructured data
- Investment strategy for global institutional investors and asset managers
Job Descriptions:
- Transforming, structuring, organizing, integrating and mapping data from various sources to support investments business needs for the CIO Office Units namely, PRA, ISAA and IM.
- Aggregate and integrate data from multiple data sources with the aim of transforming data into usable, consumable formats.
- Support data quality checks, data validation to processes to ensure consistency, accuracy and completeness while complying with Corporate Data Governance Policies to maintain the quality, integrity and use of data across the organization.
- Generate reports, presentations and descriptive analysis on performance at the portfolio level, asset class level, investment strategy/programs and company level.
- Coordinate between different teams, units and divisions to collaborate in the processes of data collection, clean-up, transformation, structuring to support the data analytics required for CIO office units.
- Identify linkages and commonalities in the investments data and the commentary which supports the analysis.
Qualifications and Requirements:
- Degree in Finance, Statistics or Mathematical Discipline (CIPM / CFA is an advantage)
- Proficient in leveraging on platforms, Bloomberg, Advanced Excel Skills, Microsoft Office, ability to develop VBA Macros
- Knowledge of statistics, databases and programming languages (Python, VBA, R, etc.)
- Two (2) to six (6) years of relevant experience
- Strong verbal, written communication and presentation skills
We encourage and value applications from all backgrounds, identities, and experiences whereby all qualified candidates will be assessed in a fair and equitable manner. Our employment decisions are based on merit, business needs, and job requirements.
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