About the Company
I am partnering with an established Singapore-based investment platform to hire a Data Engineer to support the build-out of its investment risk and portfolio analytics infrastructure. This is a
newly created role with strong ownership
, visibility and the opportunity to shape the data foundation for investment decision-making across a multi-asset portfolio.
The Role
You will own the technical delivery and ongoing operation of an enterprise risk and portfolio analytics platform, working closely with investment, performance, risk, custodians, data providers and external vendors. Key responsibilities include:
Design investment data models, data warehouses and platform workflows
Build automated data pipelines across internal systems, custodians and data vendors
Establish data quality, reconciliation and monitoring controls
Support platform implementation, UAT, access management, parallel runs and go-live
Act as the technical bridge between business users and external vendors
Oversee production monitoring and steady-state platform operations
Drive automation and future platform enhancement opportunities
Requirements
Min. 5–8 years' data engineering / technology experience within financial services
Degree in Computer Science, Engineering, Finance or related discipline
Strong hands-on experience in data modelling, data warehouses and ETL pipelines
Familiarity with investment data terminologies (e.g. NAV, OTC derivatives, holdings, etc.)
Prior exposure to risk, portfolio analytics or investment platforms highly advantageous
Able to operate independently as the main technical owner in a lean team
Strong communication skills and ability to explain technical matters clearly to business stakeholders
Grounded, practical and comfortable managing external vendors and internal business stakeholders
Additional Information
Newly created role
High autonomy and platform-building exposure
100% in-office arrangement
To Apply
Please send your resume to Sarah Sim at (HIDDEN TEXT), quoting
Data Engineer – Investment Risk & Portfolio Analytics
. Only shortlisted candidates will be contacted.