Data Modelers

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 No
  
  SQL databases
• Data modelling experience in
• Deposits – CD, Savings, Checking
• Credit Cards – rewards cards, hotel, travel, business, and cobranded cards
• 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

Cloud Hybrid is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. Cloud Hybrid will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters.

Nor will Cloud Hybrid require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract