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Sr. Associate, Finance & Risk Reference Data Quality Metrics and Data Feed Certification-Reference Data Strategy & Operations

Job Description

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 http://www.jpmorganchase.com/.

 

One of the top priorities across the Chief Administrative Office at JPMorgan Chase is to help the firm move toward a more integrated data management strategy.  The mandate of Global Reference Data Operations (GRDO) is to manage reference data across the enterprise, establish firmwide reference data governance processes and quality standards, manage all reference data operations teams, and partner with the lines of business to drive alignment to firmwide 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.  Today, GRDO comprises a senior leadership team managing ~500 operations, project and strategy staff.

Some of GRDO’s most significant internal clients are the Finance & Risk functions of the Firm, including the Finance & Risk Roadmap Program which is a multi-hundred million dollar investment to simplify and upgrade the Firm’s data infrastructure and data management practices for Finance & Risk.  We also work closely with the Firmwide Data Management Program led by the Firm’s Chief Data Officer.

We are recruiting four team members to build a couple of small functions/teams focused on ensuring that we deliver high quality reference data to consumers in Finance & Risk, and that our strategic reference data adoption programs successfully result in high quality reference data being available in the Finance & Risk Warehouse (FRW) and the upcoming Market Risk aggregator.

Responsibilities

The first function/team is the Finance & Risk Reference Data Quality Metrics Team.  This team will focus on building a comprehensive view of the quality of reference data as consumed by Finance & Risk, e.g., in the risk management and reporting functions.  This will involve collating and mining sources of consumption data quality metrics such as the Accuracy & Completeness of Data (ACD) index; databases cataloging adjustments made by various teams in Finance, Liquidity Risk, etc.; and gathering and analyzing data quality metrics emanating from data profiling occurring at the major data aggregation points such as DAC, FRW and the Market Risk aggregator.  It is expected that a portion of the role will be to drive the build out of additional metrics in addition to working with what already exists.  Close collaboration with the Finance & Risk Roadmap Data Metrics Initiative team will be required.  Further, it is expected that the team will uncover data quality issues, some of which will be actively worked and resolved within the team, while others are handed off to data domain/operations experts based on their scope.  The essence of this team is to build a comprehensive, metrics-driven view of Finance & Risk data quality, and drive measurable improvements via solutions identified from that fact-base.

The second function/team is the Finance & Risk Reference Data Feeds Certification Team.  This team will focus on feeds from 50+ product and trading systems (“source systems”) that are sent to the major data aggregation points such as DAC, FRW and the Market Risk aggregator.  This team’s mission is to understand from the feed documentation (e.g., DRDs) what reference data is contained in each feed, then determine with each source system whether they obtain their reference data from an official System of Record (SoR) or Authoritative Data Source (ADS) or not; and if not, how/why not.  For those Prioritized Applications at risk of non-compliance with the Firm’s Reference and Master Data Standard stipulations for reference data sourcing, the team will work with Information Owners and AD Managers to establish a path to adoption of sourcing reference data from such SoRs/ADSs, and eventual compliance with the Standard.  Success for this team is ensuring that ultimately all reference data in DAC, FRW and the Market Risk aggregator is sourced form official SoRs/ADSs.

Each team will comprise of two members: a recently promoted ED or an experienced VP, and a Senior Associate or an Associate.  This position is for a 602 Senior Associate; others are posted for a 604 ED, 603 VP and 601 Associate.  The ED/VP roles will report to the Head of Financial and Product Reference Data Operations.

These roles require extensive data analysis, and close interaction with Finance and Risk, Technology, and Firmwide Data Management.  Success requires a commitment to driving change— in particular, aspiring candidates must possess four key attributes:

  • Excellent data analysis skills, including superior capabilities for synthesis and presentation of complex data.

  • Understanding of the key finance and risk disciplines, including financial reporting, credit risk, market risk, model risk, liquidity risk, interest rate risk, etc. so as to be able to understand the data consumption use cases.

  • Knowledge of data sources and repositories related to these key finance and risk disciplines, or ability to rapidly assimilate knowledge about them.

  • Ability to understand technology with respect to data management, e.g., data flows/lineage, requirements and functional specification documents; and consensus-building and communication skills sufficiently powerful to drive technological and operating model change.

     

    The ideal candidate will also have strong client management and senior management-level communication skills, experience structuring and scoping complex problems, and the ability to apply a range of analytical tools to develop solutions to those problems.  Very strong critical and creative thinking skills and a willingness to work with ambiguity must be demonstrated.  Previous experience driving strategic and tactical process improvement initiatives in data/technology-heavy functions/programs is highly desirable.

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 at a management consulting firm or in an internal transformational role, 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, but not required.

In addition:

  • Experience in the financial services industry and/or financial industry knowledge is essential, and knowledge of key finance and risk disciplines is highly desirable.

  • Problem solving skills: Strong ability to rapidly learn the intricacies of an unfamiliar process, structure and scope complex problems, apply a range of analytical tools, gain and synthesize insights, and develop actionable recommendations

  • 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.

  • 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.

  • Project management skills: Ability to manage own workstreams, create workable workstream plans and execute on such plans. Must be able to meet commitments and balance competing priorities.

  • Client management skills: Demonstrated ability to closely partner with line managers and other stakeholders in Global Reference Data Operations, finance, risk, lines of business and technology.

  • Cross-Functional/Consensus Building Skills: Success in this role will be dependent on the ability to forge relationships with others in Finance & Risk, Technology and Firmwide Data Management, as demonstrated by a similar track record.

  • Communications skills: Strong written and oral executive-level communications skills, including the ability to quickly convey complex topics in easily understood formats.

  • Teamwork skills: Flexible work style, be able to work with stakeholders and colleagues at all levels.

  • Superior knowledge and comfort with Excel and PowerPoint/PitchPro.

     

    This and related positions will be based at Brooklyn’s MetroTech Center.  Travel to midtown on a regular basis to work with others in GRDO, Finance & Risk and Firmwide Data Management should be expected.

     

    Note that this is not a program/project management role, nor is it data management governance/policy/ standards-related.  It is about analyzing data metrics and understanding data flows/lineage to be able to define and drive practical solutions via data and technology architecture and deployments.

Req #: 160011766
Location: Brooklyn, NY US
Job Category: Project Management
Employment Type: Full Time
Potential Referral Amount: 0 US Dollar (USD)

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