VP - Investment Platform - CDO Data Strategy
New York, NY, United States
- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s listing: Full time
From the employer’s posting
What you’ll work on
Full postingTranslate Fixed Income consumer use cases into clear data product specifications
Source, integrate and validate new data sources with data owners and custodians
Drive data products end-to-end across business, data and technology teams
Ensure products meet governance, control and audit evidence standards
Support adoption so consumers understand and use the products
From the employer’s posting
translating demand into clear specifications for data product development
Work with data owners and custodians to understand data sourcing options, integrate new data sources as needed
Drive data product development end-to-end
Ensure data products meet documentation, governance, and control standards
Support adoption and value realisation, working with consumers to ensure products are understood, accessible
What you’ll bring
All qualificationsCore experience
- 3-5 years building data products or curated datasets
- Fixed Income business or research subject-matter expertise
- Experience eliciting requirements and translating business needs into data solutions
- Working with data owners and data engineering teams to source and curate data
- Data quality, metadata management and technical skills such as SQL or Python
Qualification wording
Direct, hands-on experience, 3-5 years in similar or related role developing data products or similar data assets
Experience working as a subject-matter expert in Fixed Income business and research
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, etc)
Tools in this posting
- Java
- Python
- SQL
- Tableau
Source — Tool mentions in context
- Analyze data models and updates to ensure data standards and metadata have accurate business context. - 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
- 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, etc) - Ability to operate effectively in a matrixed environment, influencing without authority across business, data, and technology stakeholders
- 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.
Posting record
Report an errorActively hiringFirst seen by us 6 days ago, still listed, and not a repost of an earlier listing.
- Status in our records
- Live
- First seen by us
- Oct 19, 2026 · 6 days ago
- Recorded sightings
- 48
- Last seen by us
- Oct 25, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
Your next step
- Have your resume and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the pay range before committing time to the process.
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Job description
We are seeking a Data Strategy Lead for our Fixed Income business to join our NY office. This person 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, coordinating across business stakeholders, data owners, and technology teams to deliver products that meet defined requirements and standards.
Job Responsibilities:
- Partner directly with Fixed Income business consumers to understand use cases and requirements, translating demand into clear specifications for data product development
- Work with data owners and custodians to understand data sourcing options, integrate new data sources as needed, ensuring seamless ingestion, transformation, and validation to deliver high quality, fit-for-purpose product to meet consumer needs.
- Drive data product development end-to-end, coordinating across business stakeholders, data owners, and technology teams to deliver products that meet defined requirements and standards
- Ensure data products meet documentation, governance, and control standards, including ownership, data contracts, quality expectations, access models, and audit evidence requirements
- Support adoption and value realisation, working with consumers to ensure products are understood, accessible, and delivering intended business outcomes
Required qualifications, capabilities, and skills:
Experience working as a subject-matter expert in Fixed Income business and research to develop investment inputs with track-record of delivering high-value investment products.
Direct, hands-on experience, 3-5 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, etc)
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 :
- Analyze data models and updates to ensure data standards and metadata have accurate business context.
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.
Employer Description
JPMorganChase, 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.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
Source details
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- Pay
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- Location & working pattern
New York, NY, United States
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