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Euthymia Frangos

@euthymiafrangos

Product analyst at UBS who improved data quality through root-cause analysis, dashboards, and process improvements.

United States
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At UBS, I partnered with business, technology, and operations stakeholders to turn data and process needs into requirements for enterprise data platforms. I documented data flows and controls, and investigated data quality issues to develop remediation plans and system or process improvements.

I supported product lifecycle work across requirements definition, testing coordination, issue tracking, and release readiness. I also developed dashboards to monitor data quality metrics and support data-driven decisions.

At JPMorgan Chase, I led delivery of enterprise platform releases and established structured processes for requirements intake, testing, and release readiness. Earlier finance, operations, and data analytics roles at JPMorgan Chase, Bear Stearns, and Credit Suisse First Boston included process analysis, reporting, and project coordination.

Experience

Work history, roles, and key accomplishments

UB

Director, Data Management Specialist

Apr 2023 - Apr 2026 (3 years)

Partnered with business, technology, and operations stakeholders to translate data and process needs into structured requirements, driving enhancements across enterprise data platforms. Led data quality investigations, performed root cause analysis, and developed dashboards to monitor data quality metrics.

JPMorgan Chase logoJC

Vice President, Firmwide Finance Business Architecture – Release Management

Sep 2017 - Oct 2019 (2 years 1 month)

Led end-to-end delivery of enterprise platform releases, translating business requirements into execution plans and coordinating across multiple systems and stakeholders. Defined and implemented structured processes for requirements intake, testing, and release readiness using Agile-aligned methodologies and JIRA tooling.

JPMorgan Chase logoJC

Vice President, FinanceRisk Operations Data Analytics – CFO Operations

Feb 2015 - Apr 2017 (2 years 2 months)

Analyzed complex data issues across end-to-end processes, identifying root causes and translating insights into actionable business and system improvements. Managed issue tracking and prioritization within structured data management frameworks, supporting efficient resolution and process enhancement.

Education

Degrees, certifications, and relevant coursework

New York University logoNU

New York University

Bachelor of Science, Finance and International Business

Bachelor of Science in Finance and International Business from New York University's Leonard N. Stern School of Business.

Tech stack

Software and tools used professionally

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