Business Analyst

Data Product Owner - Credit Data Product Owner

Location: London | Hybrid (3 days office / 2 remote)

£50k + Excellent Bonus & Benefits

Global Financial Services Firm

A high-performing global financial data and research organisation is looking to appoint a Credit Data Product Owner to sit at the intersection of fixed income markets, data, and product delivery . This role is embedded within a specialist credit-focused environment, working closely with analysts, engineering, and commercial teams to shape and deliver data-driven products used by institutional clients.

You must understand credit / fixed income datasets and can translate market needs into scalable, user-centric data products.

The Role

Ownership of a defined product area, driving delivery from concept through to production, ensuring alignment with both commercial priorities and end-user value.

Core responsibilities include:

• Owning and maintaining the product backlog, ensuring alignment to business priorities
• Translating requirements into clear user stories and acceptance criteria
• Partnering with engineering, data, and commercial stakeholders to deliver features effectively
• Running Agile ceremonies (sprint planning, backlog refinement, retrospectives)
• Supporting UAT and release validation to ensure quality and usability
• Engaging directly with users to refine product usability, workflows, and time-to-value
• Analysing data using SQL / similar tools to validate product requirements and performance
• Monitoring product adoption, usage, and feature-level performance metrics
• Identifying and resolving product issues, driving continuous improvement

Candidate Profile

• Experience working with fixed income / credit data within a financial data, research, or investment environment
• Background in product ownership, product delivery, or data product development
• Strong understanding of data structures, datasets, and data-driven workflows
• Hands-on experience with SQL or similar querying tools
• Proven ability to operate within Agile delivery environments
• Strong stakeholder management across technical and non-technical audiences
• Exposure to institutional data products (research platforms, analytics tools, market data products)
• Experience working closely with analysts or front-office stakeholders
• Ability to bridge commercial objectives and technical execution

Success Factors:

• Domain credibility in fixed income.
• Ability to operate as a translator between data, engineering, and end users
• Strong bias toward execution and delivery, not just strategy
• Comfort working in data-heavy, low-structure environments
• Focus on product adoption, usability, and tangible client value