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Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, create marketing solutions, and gain deeper insights into the automotive market, all using our unique combination of data, analytics and software. We also assist millions of people to realize their financial goals and help them save time and money.
We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more industry segments.
We invest in people and new advanced technologies to unlock the power of data. As a FTSE 100 Index company listed on the London Stock Exchange (EXPN), we have a team of 22,500 people across 32 countries. Our corporate headquarters are in Dublin, Ireland. Learn more at experianplc.com.
Internal Grade: F/EB10
Job Description
Are you a Product Manager or Data Analyst working in a lender or price comparison site, looking to shape the future of credit decisioning and eligibility? Join Experian's Eligibility team, where we build data-driven products that connect consumers with the right financial products—at the right time reporting into our Head of Product.
We partner with leading PCWs and brokers like MoneySuperMarket, ClearScore, and Compare the Market, helping them deliver smarter, more personalised credit journeys. Our white-label solutions power pre-qualification and eligibility experiences across the UK financial ecosystem.
What You'll Do
- Shape Product Strategy: Collaborate with cross-functional teams and senior stakeholders to define product vision and roadmap.
- Drive Innovation: Balance core product development with experimentation, prototyping, and new capability exploration.
- Champion the User: Leverage user research, funnel analytics, and market insights to identify and solve real customer problems.
- Deliver Outcomes: Work closely with engineering, UX, and commercial teams to launch features that improve conversion, engagement, and lender performance.
- Measure Impact: Own KPIs across commercial performance, user experience, and operational efficiency.
- Product management or data analytics experience in financial services, credit products, or digital comparison platforms.
- Strong understanding of conversion funnels, credit eligibility, or consumer decisioning.
- Passion for product performance, user feedback, and continuous improvement.
- Experience communicating complex technical concepts to a variety of audiences.
- Familiarity with Jobs To Be Done, design thinking, and agile delivery.
- Experience optimising digital journeys, marketing funnels, or credit application flows.
- Understanding of UX metrics, A/B testing, and data-driven experimentation.
- Build commercial cases and prioritise roadmap initiatives.
- Strong analytical mindset and comfort working with data to inform decisions.
- Analytics background
- understanding of consumer credit market
- Deliver products or analytics solutions to clients
Benefits package includes:
- Hybrid working
- Great compensation package and discretionary bonus
- Core benefits include pension, bupa healthcare, sharesave scheme and more
- 25 days annual leave with 8 bank holidays and 3 volunteering days. You can purchase additional annual leave.
Experian is proud to be an Equal Opportunity and Affirmative Action employer. Innovation is an important part of Experian's DNA and practices, and our diverse workforce drives our success. Everyone can succeed at Experian and bring their whole self to work, irrespective of their gender, ethnicity, religion, colour, sexuality, physical ability or age. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.
Experian Careers - Creating a better tomorrow together
Find out what its like to work for Experian by clicking here
This is a hybrid remote/in-office role.
Experian Careers - Creating a better tomorrow together
Find out what its like to work for Experian by clicking here
Key Skills
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