JPMorgan Chase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
Job summary:
As a Investment Platform Data Strategy Lead Executive Director for our Fixed Income business you will partner with our Fixed Income research and portfolio management teams as a subject-matter expert to drive data product development that underpins our research, analytical tools, dashboards, and decision-support for our portfolio management teams. You will coordinate across business stakeholders, data owners, and technology teams to deliver products that meet defined requirements and standards.
Job responsibilities:
Required qualifications, skills and capabilities:
Experienced leader managing small teams of subject-matter experts in Fixed Income business and research to develop investment inputs with track-record of delivering high-value investment products.
Direct, hands-on experience, 5+ years in similar or related role developing data products or similar data assets (e.g., curated datasets, analytical data sets, data services)
Strong business engagement skills with proven ability to elicit requirements, understand use cases, and translate business needs into data solutions
Experience working with data owners and data engineering teams to source, transform, and curate data
Solid understanding of data quality, metadata management, and technical skills (SQL, python)
Ability to operate effectively in a matrixed environment, influencing without authority across business, data, and technology stakeholders
Risk and control awareness, including alignment to security and integrity requirements in regulated environments
Preferred qualifications, capabilities, and skills :
Proficiency in SQL, Python, or JAVA for hands-on curation, testing and evaluation of data products
Familiarity with business intelligence tools (ThoughtSpot, Tableau) to utilize audit reporting and build dashboards
Good knowledge of key market data offerings such as Bloomberg, LSEG/Refinitiv FXT/Eikon/Workspace, FactSet etc.
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