Fixed Income Data Strategy Lead — Investment Platform

Aumni

New York (NY)

On-site

USD 180,000 - 260,000

Full time

13 days ago

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Job summary

JPMorganChase is seeking a Data Strategy Lead for its Fixed Income business in New York. The role partners with research and portfolio management teams to drive data product development, dashboards, and decision-support tools while coordinating across business, data owners, and technology groups.

You will steer end-to-end data product initiatives, ensure data quality and governance, and promote adoption of data solutions to realize business outcomes.

Qualifications

  • 3–5 years in a role developing data products or data assets for Fixed Income research.
  • Strong ability to elicit requirements, translate to data solutions, and engage stakeholders.
  • Experience with data owners and data engineering teams to source, transform, and curate data.

Responsibilities

  • Partner with Fixed Income consumers to understand use cases and translate demand into data product specs.
  • Collaborate with data owners and custodians to source, transform, and validate data for ingestion.
  • Lead end-to-end data product development across stakeholders, data owners, and technology teams.
  • Ensure data products meet governance, ownership, contracts, quality, access, and audit requirements.
  • Support adoption and demonstrate business value of data products to consumers.

Skills

Fixed Income domain
Data product development
Requirements elicitation
Data engineering collaboration
Data quality
Metadata management
SQL
Python
JAVA
Matrixed environment
Risk and controls

Tools

Tableau
ThoughtSpot
Bloomberg
Refinitiv

Job description

JPMorganChase is seeking a Data Strategy Lead for its Fixed Income business in New York. The role partners with research and portfolio management teams to drive data product development, dashboards, and decision-support tools while coordinating across business, data owners, and technology groups.

You will steer end-to-end data product initiatives, ensure data quality and governance, and promote adoption of data solutions to realize business outcomes.

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