Robotics technology LLC
Duncanville, TX
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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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