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Analysis Lead, Data Integrity & Operations

MUFGInvestorServices

Dublin, County Dublin, Ireland Hybrid permanent

Posted: February 20, 2026

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Analysis Lead, Data Integrity & Operations

Job Description

Experience something Brilliantly Different with 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. To learn more, visit us at www.mufg-investorservices.com.

You will take primary responsibility for analysis within the Data Integrity team, including Root Cause Analysis (RCA) and broader data integrity analysis. You will identify and explain systemic data failures, provide insights into data quality and control issues, and propose clear tactical and strategic remediation options that address root causes and reduce repeat data issues across the organization.

• Articulate clear problem statements that go beyond symptoms to identify systemic data failures across our data landscape
• Translate complex technical findings into clear, compelling narratives that explain what broke, why it broke, and what must change to prevent recurrence.
• Expose data breaks through rigorous analysis of how data flows, transforms, and degrades across the end‑to‑end value chain.
• Act as the connective tissue across data owners, SMEs, technology, product and risk - leveraging domain expertise, maintaining momentum and unblocking progress.
• Apply structured RCA and data analysis techniques, including data lineage and flow mapping, reconciliation analysis, rule‑based validation, transformation logic review, and identification of ownership, control, and control‑point gaps.
• Drive end-to-end RCA activities ensuring data issues are clearly defined, investigated, and progressed with accountability.
• Assess current-state failures against target-state data management and MDM models to pinpoint misalignment and structural weaknesses.
• Define and track corrective and preventive actions, validating that fixes are effective, embedded into BAU operations, and reducing repeat incidents over time.

• 7+ years’ experience in data analysis, data quality, or data management, including leading investigative or analytical workstreams
• Demonstrated ability to lead root cause analysis and broader data integrity investigations on complex, recurring data issues across systems and processes.
• Strong analytical and problem‑solving skills with extensive experience querying and reconciling large, complex datasets using SQL.
• Hands‑on experience analysing end‑to‑end data flows, including lineage, source‑to‑target mapping, and transformation logic validation.
• Excellent communication and stakeholder management skills, able to translate complex technical findings into clear, actionable narratives.
• Solid understanding of data governance, ownership, and control frameworks, with experience identifying and addressing gaps that contribute to data quality issues.
• Proven experience in data management or data quality roles within complex enterprise environments (financial services experience desirable but not essential).
• Experience managing the quality, integrity, and control of core data sets, including master or reference data.
• Experience working with data integration interfaces and APIs to support analysis of data movement between systems.
• Experience operating in agile delivery environments to track investigations, actions, and outcomes.
• Experience using scripting or analytical languages (e.g. Python) to support data investigation or automation is desirable.

What’s in it for you to join MUFG Investor Services?  

Take a look at our careers site and you’ll find everything you’d expect from a career with the fastest-growing business at one of the world’s largest financial groups. Now take another look. Because it’s how we defy expectations that really defines us. You’ll feel that difference in all kinds of ways. Our vibrant CULTURE. Connected team. Love of innovation, laser client focus, and next-level LEARNING & DEVELOPMENT. Oh, and we really walk the talk when it comes to HYBRID WORKING.    

So, why settle for the ordinary?  Apply now for a Brilliantly Different career.  

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