Quantitative Research - CDO Data Governance - Associate

United Kingdom
Full time
Posted
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JP Morgan
Banking, investment & finance
10,001+ employees
566 jobs
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As an Associate within Quantitative Research - CDO Data Governance team, you will be part of CIB Markets Chief Data Office (CDO). This is a Data Management role and requires a blend of data management, business analysis and technical skills.

Job Responsibilities

  • Understanding business processes in CIB Markets and the data required to drive the processes
  • Implementing data ownership programs across in-scope applications within Markets, supporting business Data Owners and the Markets CDO
  • Assisting in defining and cataloguing datasets used in or created by business processes in Markets
  • Deriving insights from data analysis, and providing the insights to senior management, with the goal to inform/advise senior management on data quality improvement opportunities
  • Partnering with senior business stakeholders to drive prioritization of data quality efforts, and manage timely resolutions, escalating delays and obstacles/roadblocks to requisite governance forums
  • Leading the implementation of data quality management projects globally across Markets, partnering with business and technology stakeholders
  • Coordinating data quality issue tracking and remediation, root cause analysis, and escalation.
  • Communicating with and achieving buy-in from stakeholders across Markets including Front Office, Quantitative Research, Technology, Operations, etc., on data management initiatives
  • Performing project management and business analysis on data issues/initiatives, and achieving senior management buy-in for project activities and next steps
  • Liaising with firmwide and CIB CDOs to ensure alignment of Markets CDO functions with the firmwide and CIB CDOs

Required Qualifications, Capabilities and Skills

  • 5+ years of experience in Data Management including Data Quality Management, Data Issue Management, Metadata Management, Data Management Policy and Standards creation/implementation
  • Programming experience with Python, SQL
  • Proficiency in manipulating and analyzing large datasets in Excel (pivots, formulas, charts, etc.)
  • Cloud computing experience with AWS and/or SnowFlake
  • Business Analysis and deep analytical and problem-solving skills
  • Familiarity with asset classes and related products and processes
  • Experience leading/working in a matrixed environment
  • Self-starter with strong time management skills; efficient at multi-tasking and able to work under pressure to address multiple concurrent business demands on-time
  • Excellent communication, presentation (both oral and written), and influencing skills – candidate will be dealing with stakeholders of varying degrees of seniority (up-to Managing Director level) across front office Equities line of businesses, Technology, Operations, and Corporate/Firmwide data organizations
  • Experience in the Financial Services industry

Preferred Qualifications, Capabilities and Skills

  • 3+ years of experience in the financial services industry is preferred