Assistant Vice President - Investment Data Governance Unit

Location
Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur (MY)
Salary
Market + Competitive Employee Benefits Package
Posted
Aug 03, 2021
Closes
Sep 02, 2021
Ref
Strategic Asset Allocation
Industry Sector
Asset Management
Employment Type
Full Time
Education
Bachelors

Responsibilities:

To assume Unit Head role under the Investment Data Governance Unit of Strategic Asset Allocation Department, in leading the team to execute the following functions: -

● To establish policies and guidelines on investment data including recommendations for day-to-day data management activities, and regular reporting of key data quality metrics by partnering with various stakeholders in order to ensure adherence to data quality and standards.

● To develop investment data systems and underly data models, proactively accounting for data interdependencies and data infrastructure requirements.

● To provide high-level oversight of, and advisory to, project teams on multiple implementation phases of investment data projects.

To manage end-to-end investment data sourcing and delivery requirements, including working with spoke data teams to implement data governance checks prior to data use in downstream systems.

● To coordinate firm-wide investment data analytics, work with spoke data teams to strategise the areas of research, collaborative modelling activities and data infrastructure build-up.

● To advise spoke data teams on the investment data structure, characteristics and proper use/approach, in addition to data science methodology and tools for consideration.

● To build PNB’s data analytics toolkit, including data sources, models, tools and shared code libraries, and any temporary data pipelines.

● To work with Senior Management and coordinate directly with various internal teams across PNB such as investments and IT.

● To promote awareness e.g. knowledge-sharing activities, on data governance and data science, keeping abreast with emerging requirements, technology and insights on leading data science and analytics practises, trends, design and development cycles.

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