Job Description & How to Apply Below
Full-time
Rank:
Senior Associate
Employment Type:
Permanent Full Time
Experience something brilliant in a career at MUFG Investor Services.
MUFG Investor Services is a trusted partner to many of the world’s largest public and private funds, providing asset servicing and operational solutions built for alternatives. With over $1 trillion in client assets under administration, we offer fund administration, banking, payments, fund financing, foreign exchange overlay, corporate and regulatory services, custody, business consulting, and more. Operating from 17 locations worldwide, we help clients mitigate risk, enhance efficiency, and navigate the operational complexities of today’s investment management landscape.
As a division of Mitsubishi UFJ Financial Group (MUFG), one of the world’s largest financial institutions with approximately $3 trillion in assets, we combine deep expertise with the strength and stability of a leading financial institution.
You will support the design and enhancement of data integrity solutions across lineage, data quality, reconciliations, metadata, and Master Data Management (MDM). Working closely with technology, PMO, and business teams, you will analyse requirements, shape logical and functional solution designs, assess data impacts of change, and ensure new and enhanced capabilities align with enterprise data standards and enable trusted, well‑governed data across the organisation.
Responsibilities
Translate business and data integrity needs into clear functional requirements for lineage, data quality, reconciliations, metadata, and MDM capabilities.
Contribute to the logical design of data integrity solutions, including data rules, lineage models, reconciliation logic, and metadata standards.
Perform data impact assessments on change initiatives; ensure designs meet “data essentials” standards and best‑practice principles.
Assess proposed changes for impacts on data flows, ownership, controls, lineage, and quality; ensure alignment with enterprise data architecture.
Partner with technology teams to refine solution designs, prepare functional specifications, support handover for build, and validate delivered functionality.
Use SQL and analytical techniques to explore datasets, validate assumptions, and provide evidence‑based inputs into solution design.
Support conceptual and logical data modelling activities to ensure alignment with enterprise data architecture.
Maintain clear documentation, including requirements, specifications, data flows, and test evidence.
Qualifications
5+ years’ experience in data analysis, data management, data architecture, or business analysis roles within complex enterprise environments.
Strong analytical and problem‑solving skills with advanced SQL and hands‑on experience working with complex datasets.
Clear communication and stakeholder engagement skills, able to translate technical concepts and solution designs into concise, actionable requirements.
Solid understanding of data governance, metadata, ownership, and control concepts, and how they enable trusted and well‑managed data.
Experience contributing to the design or specification of data solutions such as lineage models, data quality rules, reconciliation logic, or MDM capabilities.
Exposure to data quality, lineage, metadata, or MDM tooling — including enterprise platforms (e.g., Collibra, Purview, Informatica) and open‑source tools (e.g., Open Lineage, Great Expectations).
Exposure to data integration technologies or APIs and an understanding of how data moves and transforms across systems.
Experience working in agile or iterative delivery environments, contributing to backlogs, refinement, and validation activities.
Experience using scripting or analytical languages (e.g., Python) to support analysis, validation, or light automation is desirable.
Benefits
Hybrid working model.
Opportunity to work on transformative data projects with a large institutional client base.
Career growth and learning development opportunities.
So, why settle for the ordinary? Apply now for a brilliant career.
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