Data Platform Manager, Performance & Risk

Sun Venture; Singapore; On-site; SGD 180,000 - 240,000; Full time

Job summary

Sun Venture is seeking a Data Platform Manager to lead the enterprise risk and portfolio analytics platform. You will own architecture, data models, and end-to-end delivery, working with investment users, custodians, data vendors, and the platform vendor.

You will design and operate automated data pipelines, manage production runs, and translate technical needs into business updates for senior stakeholders.

Qualifications

• Degree in a quantitative field or related experience.
• 6–10 years of technology/data experience in financial services.
• Experience implementing or supporting an enterprise risk or portfolio analytics platform.
• Hands-on experience designing relational data models and analytics data warehouses.
• Proven ability to build and operate automated data pipelines (ETL/ELT, SFTP).
• Familiarity with investment data concepts: holdings, pricing, NAV.
• Understanding of enterprise risk platforms such as Aladdin or BarraOne.

Responsibilities

• Own the overall architecture and design of the Performance and Risk data platform.
• Design, build, operate and improve automated data pipelines from internal systems and data providers.
• Lead the technical delivery of risk platform implementation and go-live.
• Own nightly production, monitoring, releases, and vendor support.
• Act as the technical interface to stakeholders and translate technical issues into business terms.

Skills

Data engineering

ETL/ELT pipelines

Relational data modeling

Analytics data warehouse

Stakeholder communication

Education

Degree in Computer Science / Finance

Tools

BlackRock Aladdin

MSCI BarraOne

Job description

Founded in 2006, Sun Venture is a long-term investor with a methodical and disciplined approach. We invest globally across a broad range of asset classes, including private equity, real estate, public equities, fixed income, and alternatives, with the goal of delivering sustainable value across market cycles.

Description

As a member of the Performance and Risk team, the Data Platform Manager will serve as the firm’s primary technical authority for its enterprise risk and portfolio analytics platform. Working closely with the Head of Performance & Risk, investment users, custodians, data providers, and the platform vendor, the role owns the end-to-end technical delivery of the platform implementation and its ongoing operation. Key responsibilities include:

• Owning the overall architecture and design of the Performance and Risk data platform, including relational data models for security reference data, holdings and portfolio structures, and the analytics data warehouse.
• Designing, building, operating and improving automated file-based and API data pipelines from internal systems, custodians, data vendors and service providers with embedded data quality, reconciliation and governance controls.
• Leading the technical delivery of the risk platform implementation, including interface design, system configuration, user access management, UAT, parallel runs, and controlled go-live.
• Owning the ongoing nightly production process, platform monitoring, release management, and vendor support to maintain reliable steady-state operations.
• Acting as the technical interface to investment stakeholders and the platform vendor, translating technical matters into clear business-language updates and supporting the risk team’s reporting and ad hoc data needs.

Requirements

• Degree in Computer Science, Engineering, Mathematics, Finance, Financial Engineering, Information Systems, or a related quantitative discipline; equivalent professional experience may be considered
• Minimum 6–10 years of relevant technology or data engineering experience in financial services (investment management, asset management, or financial technology)
• Direct experience implementing or supporting an enterprise risk or portfolio analytics platform (buy-side, asset owner, or vendor-side implementation specialist) strongly preferred
• Hands-on experience designing relational data models and analytics data warehouses for financial reference and analytics data
• Proven ability to build and operate automated data pipelines (ETL/ELT, SFTP) for financial data without a large supporting engineering team
• Familiarity with investment data concepts: holdings/positions, security identifiers, pricing, NAV, benchmarks, and OTC derivative terms
• Understanding of enterprise risk platforms such as BlackRock Aladdin, MSCI BarraOne, or equivalent
• Strong ownership and accountability, with demonstrated ability to work independently as the sole technology authority in a lean team environment
• Excellent stakeholder and vendor communication skills, with the ability to translate technical issues into business impact