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Data Architect/Data Modeler - Corporate & Investment Bank

Req #: 170071693
Location: Jersey City, NJ, US
Job Category: Technology
Potential Referral Amount: 3000 US Dollar (USD)
JPMorgan Chase & Co (NYSE: JPM) is a leading global financial services firm with assets of $2.6 trillion and operations worldwide. The firm is a leader in investment banking, financial services for consumers and small business, commercial banking, financial transaction processing, and asset management. A component of the Dow Jones Industrial Average, JPMorgan Chase & Co. serves millions of consumers in the United States and many of the world's most prominent corporate, institutional and government clients under its J.P. Morgan and Chase brands. Information about JPMorgan Chase & Co. is available at  www.jpmorganchase.com

J.P. Morgan's Corporate & Investment Bank is a global leader across banking, markets and investor services. The world's most important corporations, governments and institutions entrust us with their business in more than 100 countries. With $18 trillion of assets under custody and $393 billion in deposits, the Corporate & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.

Job Description:

This role provides the opportunity to be part of a very strong team responsible for a global system that spans across multiple lines of business within the JPMorgan Corporate Investment Bank. The team is commencing on a multi-year firmwide initiative to build out new strategic set of services to support multiple lines of business including margin calculation, reporting, processing and settlement of margin calls & subsequent management of collateral. This role will require participation at all stages of the project life cycle from requirements gathering to implementation.

This role will also require strong analytical skills, knowledge of Data Management/Data Governance discipline, bridging a gap between Business and Technology.


Responsibilities:


  • Develop and support Margin and Collateral data model
  • Create and maintain UML diagrams to document exiting business process.
  • Partner with Business Teams/Middle Office/Front Office to collect business/data requirements.
  • Develop in-depth knowledge of MaCS family of applications.
  • Conduct data analysis, data mining, identify patterns.
  • Monitor data quality application issues, conduct root cause analysis.
  • Identifying data anomalies and assess possible business impact.
  • Develop and maintain data quality dashboard, issue log.
  • Identify and facilitate issue resolutions and escalate where applicable
  • Create Business Requirement documents, System Specifications
  • Manage competing priorities, multiple work streams, meet deadlines
  • Establish and implement change control process for key project artifacts.
  • Lead/participate in meetings, providing continuous feedback on project status and offering constructive options to ensure project tracks to original expectations
  • Partner with development teams to ensure specifications and priorities are understood and project dependencies are known
  • Facilitate decisions at the earliest possible time
  • Coordinate with project managers and team members to identify and resolve potential scheduling or resource conflicts


  • 3-5+ years of extensive experience in Conceptual, Logical and Physical data modeling including new application data model design and maintenance
  • This role will require in-depth understanding of fundamental financial data concepts, hands on data analysis, continues interaction with both technical team and business owners
  • Experience in supporting continues application development; conduct data model impact analysis, and seamlessly integrate new requirements
  • Strong communication and writing skills, ability to conduct workshops, facilitate interviews with Subject Matter Experts to capture and document business requirements. Ability to translate business rules into system requirements, data model, UML diagrams
  • Proficiency in using one of the following modeling tools a must -  ERWin, MagicDraw, Sparx Enterprise Architect, IBM Rational RoseIn-depth understanding of relational, dimensional, OWL/RDF modeling techniques.
  • Hands-on experience using SQL/NO-SQL Databases including Oracle, Cassandra, MongoDB, Neo4J, Redshift, Snowflake or similar.
  • Experience in data distribution, familiarity with financial industry message protocols such as FIX , SWIFT, FpML
  • Experience in defining and implementing data transformation logic
  • Ability to work independently, own deliverable from inception to delivery
  • Strong communications, documentation, presentation skills using PowerPoint, Excel.
  • Ability to build strong relations with developers and stakeholders to ensure successful project delivery
  • Experience in working as part of a distributed global development team, responsible for the design, implementation, delivery and support of a global application spanning multiple time-zones.
  • Nice to have –knowledge of programming language such as Java, Python, application architecture
  • College degree (computer science preferred).

Advantageous

  • Experience of working in the Financial Services industry is a must, particularly in OTC Cleared and/or Bilateral Derivatives
  • Experience of margin call calculation and collateral optimization.
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