Job Description

JD: Banking/Financial  Data Modeler (with Retail banking experience), 12+ years of experience

• Data modeler is responsible for designing and implementing  data models that define the structure, organization, and relationship within the  data systems. Essential skills required:

• Banking, Financial industry knowledge and expertise
• Data Modelling and expertise
• Consumer and Investment Banking  data modelling
• Banking ontologies and taxonomies
• Mapping of technical  data models to ontologies and come up with business domain  data models for creating banking  data products.
• Strong analytical problem-solving skills and attention to details for formulating effective  data models
• Relevant experience in designing and implementing  data models and analytical solutions using dimensional and relational models
• Design and implement end-to-end  data models starting from raw  data to the semantic layer that makes our  data more accessible and understandable for different persona ranging from finance users,  data analysts and automation
• Understanding business processes and ability to align  data models with organization goals. Strong analytical skills to assess  data requirements and translate them into effective  data models
• Familiarity with  data modelling tools such as Erwin, Hackolade and familiarity with various RDBMS and NoSQL databases
• Data modelling experience in

• Deposits – CD, Savings, Checking
• Credit Cards – rewards cards, hotel, travel, business, and cobranded cards
• Debit – Debit platform
• Payment processing – Merchant, Ecommerce, ACH, business banking
• Wealth Management
• Investment

• Work on some of the most complex and highly visible  data problems in finance at the intersection of finance and technology
• Ability to partner, prioritize, lead, negotiate, drive execution and influence
• Laison between SMEs,  Data Architects,  Data Modelers to understand individual  data domains and ensure acceptance from all parties
• Engage and partner with Product owners, business users (technical and on-technical),  data providers, technology teams, across large financial function to design and deliver  data products
• Experienced in end-to-end SDLC

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