Senior UX Researcher - AI-Driven FinTech Discovery in London

Senior UX Researcher - AI-Driven FinTech Discovery in London

London Full-Time 60000 - 80000 Β£ / year (est.) No working from home possible
Moneybox

At a Glance

  • Tasks: Lead UX research and coach teams in AI-driven practices for impactful user experiences.
  • Company: Join Moneybox, a forward-thinking fintech company focused on innovation.
  • Benefits: Attractive salary, flexible working options, and opportunities for professional growth.
  • Other info: Be part of a dynamic team with a passion for technology and user experience.
  • Why this job: Shape the future of fintech by delivering customer-centric insights that drive success.
  • Qualifications: Experience in UX research and strong analytical skills required.

The predicted salary is between 60000 - 80000 Β£ per year.

Moneybox is seeking a Senior UX Researcher to support its growing product and design teams.

You will lead mixed-methods research, perform hands-on work, and coach teams in AI-augmented research practices to deliver meaningful user experiences.

You will apply advanced quantitative methods, partner with analytics, and advocate for customer-centric insights that drive business outcomes across Moneybox's fintech platform.

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Senior UX Researcher - AI-Driven FinTech Discovery in London employer: Moneybox

At Moneybox, we pride ourselves on being an excellent employer by fostering a collaborative and inclusive work culture that values diversity and innovation. Our hybrid working model offers the flexibility to balance personal and professional commitments while providing ample opportunities for growth and mentorship within our talented mobile team in Greater London. Join us to take ownership of exciting projects and make a meaningful impact in the fintech space.

Moneybox

Contact Details:

Moneybox Recruitment Team

We think you need these skills to ace Senior UX Researcher - AI-Driven FinTech Discovery in London

Mixed-Methods Research
Hands-On Research Skills
Coaching Skills
AI-Augmented Research Practices
Quantitative Methods
Customer-Centric Insights
Analytics Collaboration