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FDM Mission Statement:
Firmwide Data Management (FDM) was created with the mission to help improve the quality, integrity and reliability of the firm’s critical data. Finance and Product Reference Data actively contribute to the firm’s efforts in growing the business, reducing costs, and ensuring regulatory compliance. The organization’s objectives are to explain the path that critical data follows, improve data quality, reduce ambiguity and inconsistent terminology, enhance transparency, rationalize the number of replicated data assets, and improve firmwide-sharing of information and best practices. To achieve all of this, FDM serves as the governing body to create firmwide standards that drive consistent data management practices, develop technologies and processes to support data management processes, partner with LOBs to embed data management best practices and capabilities, and ensure sustainability by refining, measuring, and improving the firm’s ability to manage data.
1. Description of Role, Functions and Activities:
One of the top priorities across the FDM at Company Chase is to help the firm move toward a more integrated data management strategy. The mandate of the Reference Data arm is to manage reference data across the enterprise, establish firm-wide reference data governance processes and quality standards, manage all reference data operations teams, and partner with the lines of business to drive alignment to firm-wide reference data standards. Our businesses and corporate groups rely on reference data to facilitate and execute transactions, support our clients, identify potential risks, and meet regulatory requirements.
The successful candidate will join the Financial Reference Data Adoption team focused on adoption of Strategic Financial Reference Data by eliminating reliance on Legacy datasets, Constructs, Mapper/Wrappers etc. and consumers of financial reference data are plugged into the System of Record (RefODS) or an Authoritative Data Source (ADS) for sourcing and validating the data. Financial Reference Data Adoption team will focus on strong partnerships with other global functional support areas including technology, business support management, product business managers, credit risk and various operational support teams. An ability to develop an effective working relationships with partners, stakeholders, and senior management is critical; this role interacts with the leads across the Financial Reference Data, Chief Data Office, Reference Data Strategy and FDM organizations. Data analysis, requirements gathering, and operating model development skills are essential.
1. Key Responsibilities and Skills:
Support the adoption of the strategic financial reference data from onboarding to downstream processing across different lines of businesses.
Actively gather Data quality metrics related to relevant Reference Data adoption, by liaison with ADMs, CDO teams, etc.
Liaise with the application owners / AD managers to deprecate legacy data usage from system-of-record.
Participate in generating high quality presentation material for the Strategic Financial Reference Data Adoption Steering committee and other senior management forums.
“Own” a complete workstream end-to-end, maintaining overall accountability for implementing the data adoption plans
Documenting meeting minutes, maintaining scorecards, project plans, RAID logs and other PMO updates
The ideal candidate will have an undergraduate degree with a relevant subject major, from a good school, plus 3-5 years financial services experience, some of which has been either in a hands-on Technology or Analytics, with data, technology and operations experience blended with knowledge of key finance and risk disciplines. Exposure to or involvement with data management and/or data quality programs is preferred
Experience in the financial services industry and/or financial industry knowledge is essential, and knowledge of key finance and risk disciplines is highly desirable.
Strong business analysis experience, preferably in a cross-LOB/function role
Proficiency in SQL (Oracle experience preferred). Dexterity in writing complex SQL queries joining across multiple tables/datasets, collate and formulate the results in a format that is discernible by a wide audience that may or may not have technical background.
Analytical skills: Highly analytical, with experience in defining analytical approaches for projects and collecting, analyzing, and synthesizing data from multiple sources to develop actionable solutions. Adeptness with MS Excel is important.
Comfort with data and technology: Prior experience functioning in roles and functions that are highly data-driven and that required understanding of data models and flows, and technology architecture as related to business requirements, including comfort interacting with internal technology teams. Prior experience in a Tech-related function in Finance and/or Risk would be a huge asset.
Client management skills: Demonstrated ability to closely partner with line managers and other stakeholders in Reference Data Operations, finance, risk, lines of business and technology.
Teamwork skills: Flexible work style, be able to work with stakeholders and colleagues at all levels.
Change management skills: Ability to support & adopt within a changing environment.
Communication skills: Strong written and oral communication skills. Knowledge and comfortable with PowerPoint.
This and related positions will be based at Delaware location. Travel to Jersey City on a regular basis to work with others in Finance & Risk and Firmwide Data Management should be expected.
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