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- Tasks: Own and manage credit data products, translating market concepts into structured datasets.
- Company: Global financial data firm with a focus on innovation and collaboration.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Dynamic role with a focus on continuous improvement and real-world applications.
- Why this job: Make an impact in the financial sector by developing data products for institutional clients.
- Qualifications: Experience in credit data, product ownership, and strong SQL skills required.
The predicted salary is between 60000 - 80000 £ per year.
Location: London | Hybrid (3 days office / 2 remote)
Organisation: Global Financial Data & Research Firm
Overview
A global financial data organisation is hiring a Data Product Owner | Credit Data to operate at the intersection of fixed income markets, data modelling, and product delivery. This role sits within a specialist credit environment and will focus on building and evolving data products used by institutional clients across asset management, banking, and research. You will be expected to translate credit market concepts into structured datasets and scalable product features.
The Role
You will own a defined credit data product area and drive delivery from concept through to production, ensuring alignment to both commercial outcomes and end-user value.
Core Responsibilities:
- Own and manage the product backlog aligned to business priorities
- Translate requirements into user stories and acceptance criteria
- Partner with engineering, data, and commercial stakeholders
- Support UAT and release validation
- Engage with users to refine workflows and usability
- Analyse datasets using SQL to validate requirements and outputs
- Monitor adoption, usage, and product performance metrics
- Drive continuous improvement across product features
You must have demonstrable experience across:
- Fixed income / credit data | corporate bonds, credit risk, ratings
- Working with financial datasets in a data or product environment
- Experience in product ownership, delivery, or data product development
- Strong understanding of data structures | time-series, instrument, issuer data
- Hands-on SQL or equivalent querying capability
- Experience working in Agile environments
- Ability to operate between technical teams and business stakeholders
- Exposure to institutional data products | analytics platforms, research tools
What Good Looks Like
- Strong grounding in credit markets (not theoretical)
- Ability to translate credit concepts into data models and product features
- Clear, structured communication across technical and commercial teams
- Execution-focused mindset | delivery over theory
- Comfortable operating in data-heavy, low-structure environments
Screening Questions | Required (Yes / No)
Please ask yourself and confirm the following before making an application!
- Do you have practical experience analysing how BBB-rated bonds behave under macro stress conditions | including interest rate rises or recession scenarios?
- Have you worked with or modelled downgrade scenarios (e.g. BBB → BB) and understand their impact on portfolio construction, liquidity, and forced selling?
- Do you understand and have experience interpreting spread behaviour across rating bands | specifically how BBB spreads react relative to A-rated bonds during market stress?
- Have you applied credit risk insights (e.g. downgrade risk, sector concentration such as leveraged corporates) within a data, analytics, or product environment?
- Have you owned or contributed to the design and delivery of a financial data product | including defining data models for instruments, issuers, ratings, or time-series credit data?
- Do you have experience translating credit or fixed income concepts (e.g. ratings changes, spreads, bond lifecycle events) into data structures, datasets, or client-facing product features?
This is a hands-on data product role, not a generic Product Owner position.
Business Analyst Credit Risk in London employer: Intelix.AI
Contact Detail:
Intelix.AI Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Business Analyst Credit Risk in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Prepare for interviews by practising common questions and scenarios related to credit risk and data products. We recommend doing mock interviews with friends or using online platforms to get comfortable with your responses.
✨Tip Number 3
Showcase your skills! Create a portfolio that highlights your experience with financial datasets, SQL queries, and any relevant projects. This will give potential employers a tangible sense of what you can bring to the table.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Business Analyst Credit Risk in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Business Analyst Credit Risk. Highlight your experience with credit data, fixed income markets, and any relevant product ownership roles. We want to see how your background aligns with what we’re looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about credit risk and how your skills can help us deliver top-notch data products. Keep it concise but impactful – we love a good story!
Showcase Your SQL Skills: Since this role involves analysing datasets using SQL, make sure to mention your hands-on experience with querying. If you’ve worked on specific projects or challenges, share those examples to demonstrate your expertise!
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates. Plus, it’s super easy!
How to prepare for a job interview at Intelix.AI
✨Know Your Credit Markets
Make sure you brush up on your knowledge of credit markets, especially fixed income and corporate bonds. Be ready to discuss real-world scenarios, like how BBB-rated bonds behave under stress conditions. This will show that you’re not just theoretical but have practical insights.
✨Master the Data Language
Since this role involves translating credit concepts into data models, be prepared to talk about your experience with SQL and data structures. Have examples ready where you've worked with financial datasets and how you’ve used them to drive product development.
✨Communicate Clearly
You’ll need to liaise between technical teams and business stakeholders, so practice clear and structured communication. Think of examples where you’ve successfully communicated complex ideas to non-technical audiences, as this will highlight your ability to bridge gaps.
✨Show Your Agile Mindset
This role requires an execution-focused mindset in an Agile environment. Be ready to discuss your experience with Agile methodologies and how you’ve contributed to product backlogs or user stories. Highlight any continuous improvement initiatives you’ve led or been part of.