Cumpata Adrian
Agile Product Owner at Deutsche Bank
Based in Bucharest, Romania
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Seniority
Manager
Department
Information Technology
Location
Bucharest
Industry
Financial Services
Company size
80K
Contact information
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c•••••••@db.com
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Background
About Cumpata Adrian
Experience in: Business/functional/BI analysis (played proxy product owner role), Project Management, and tests (SIT, QAT or UAT) for- Securities department applications: dividend distribution, distribution of fund units, depository and custody (KTP)- Financial department applications: Oracle Financial modules, Flex Finance (calculates the effective interest by IFRS rules), Core Banking system, SAS reporting module, Data Warehouse, ETL tools, EVOLAN (reporting tool for prudential regulatory reporting)- Risk department applications: Risk database consulting application (negative database), Credit Bureau, Data Warehouse, ETL tools- Financial and Risk department reports: FINREP, COREP, Large Exposures, Liquidity (LCR, NSFR indicators, Asset Encumbrance, Additional Liquidity Monitoring Metrics), SBP, LDR, Provisions - Treasury department applications: Fund Transfer Pricing (pricing tool linked to the booking of charges in order to have an end-to-end market for DB funding), Kondor. I have strong knowledge in- Business and functional analysis in Financial markets, Financial, Risk, Treasury domains - Project Management techniques, including working under different methodologies Waterfall, AGILE (SCRUM and KANBAN), PRISM (SG GROUP official methodology)- Testing Applications Achievements to be mentioned - Project manager for implementing Basel requirements in BRD for all the project sites – multinational team involved, local and SG Group, more than 20 person teams- I was part of the team that participated in RAS to IFRS migration project- Experience in providing business and functional analysis and support for Securities / Financiar / Risk /Treasury departments- Redesign BRDEMI application (issued funds distribution application with more than 150 screens)- Create new flows from scratch in the Data warehouse to adopt new sources (API chain) and transform the data in order to respond to the downstream systems, EVOLAN, and to EBA regulatory requirements.
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