Asset Management - Data Owner Lead - Vice President
Description
Kick-start your career at JPMorgan Chase as a Product Analyst in Asset Management, where you’ll collaborate with industry experts to deliver data-driven insights and support the development of world-class financial products. Be part of a team that values creativity, growth, and making a real difference.
As a Data Owner Lead in Asset Management, you will work closely with the Product team to provide insights, analytics and data to support a data product within a function, such as an application, system, or discipline. Gain exposure in product management, product delivery, and product portfolio operations to help prepare you for a thriving career at JPMorgan Chase. You will be responsible for addressing end user and application needs of third-party data requirements, inventory maintenance, month end audits, vendor reconciliation and data notification changes.
Job Responsibilities:
- Analyze data models and updates to ensure data standards and metadata have accurate business context.
- Provide requirements to curate and create new ‘fit for purpose’ data products to meet AM Investment Platform consumer needs.
- Review prioritization of MDA, IBEX, and ID REF applications
- Work on Software upgrade testing, validation, and signoff.
- Reconciling usage against inventory in FITS (Financial Information Tracking System) for cost savings
- Liaise with vendors on move, add or change on new subscription/cancellation/transfer of market data services
- Keep critical documents organized, updated and retained systematically in repository.
Required qualifications, capabilities, and skills:
- Self-starter, able to work autonomously
- Strong time management skills: efficient at multi-tasking and able to work under pressure to deliver multiple business demands on-time, to a high standard
- Proficiency in SQL, Python, or JAVA for hands-on curation, testing and evaluation of data products
- Detailed understanding of MS Office applications (Excel, Word, Outlook etc.)
- Creative problem solver with ability to perform well under pressure.
- Detail oriented, with a highly disciplined approach to process and quality control.
- Ability to learn quickly, multi-task and self-manage priorities.
- Excellent client communications skills.
- Flexible & willing to work additional hours at peak times if necessary
- Strong team player.
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, Refinitiv FXT/Eikon/Workspace, Factset etc.
