Investment Data Analyst - 9-Month Contract

About the role

An experienced Investment Data Analyst is sought for the Investment Data Area (IDA) within the Data, Technology and Operations function. The role supports strategic initiatives, data transformation projects, governance activities and investment data delivery, working with data product squads, business stakeholders, technology teams, operations and project teams. It is a 9-month contract based in Singapore.

Key responsibilities

• Understand end-to-end investment processes, data domains and business workflows, and partner with stakeholders to gather, analyse and document requirements.
• Turn requirements into user stories, functional and data requirements and implementation plans, and track dependencies, risks and milestones.
• Work with IDA data product squads on data sourcing, transformation, validation, testing and delivery.
• Analyse investment data flows across systems, map data lineage, dependencies, interfaces and processes, and coordinate testing, defect management and business validation.
• Resolve data issues, reconciliation breaks and user queries, and support data governance, quality, controls and issue management frameworks.
• Monitor data quality metrics, prepare documentation such as requirements documents, process maps, data dictionaries and impact assessments, and contribute to continuous improvement.

Required profile

• Bachelor's degree in Business Information Systems, Computer Science or a related discipline.
• 6 to 10 years of experience in business analysis, data analysis, investment data management or related fields.
• Strong knowledge of investment management processes, financial markets and financial instruments (equities, fixed income, derivatives, FX, mutual funds, alternatives).
• Experience in large-scale transformation programs and across the full investment data lifecycle.

Required skills

• Data warehousing, data architecture and enterprise data management.
• SQL for data analysis, validation and reconciliation.
• Databricks or similar modern data platforms.
• Good to have: Python, shell scripting, data automation; data governance, lineage and metadata management.