Senior UX Researcher - Moneybox - London Office, United Kingdom

About Moneybox
 
At Moneybox, our mission is to give everyone the means to get more out of life. We're guided by our belief that wealth isn't about the money, it's about the means to more - more freedom, opportunities, possibilities, and peace of mind. Moneybox is an award-winning wealth management platform, helping over one and a half million people build wealth throughout their lives, whether they’re saving and investing, buying their first home, or planning for retirement.
 
Job Brief


We're looking for a Senior UX Researcher with experience of mixed methods to support Moneybox's growing product and design teams, to continue to build meaningful and simple user experiences.


Your focus will be on delivering value through strategic discovery and evaluative testing. You'll be expected to perform hands-on research as well as driving self-serve research as appropriate amongst the product and design teams through coaching and mentoring.


You're an AI-first researcher: you actively use AI tools to accelerate and scale research, from synthesis and analysis to survey scripting and rapid discovery, while maintaining methodological rigor, and you help the wider team build good habits around this.


You have strong experience with quantitative UX research, going well beyond basic satisfaction scales, confidently designing and running large-scale quantitative surveys and applying more advanced statistical techniques. You understand how user research helps shape metrics and drive teams towards success.


You appreciate and have experience of executing robust research studies, however, are adaptable and consider practical constraints in order to deliver 'just enough research' to deliver timely and impactful insights.


You'll help build a healthy pipeline of mid- and longer-term research projects, from exploratory/foundational discovery research to evaluative testing, through to beta/go-to-market monitoring, that will help drive future innovation and align with research and business objectives. 


You're commercially minded and understand the business context behind the research and prioritise and frame your work in terms of the impact it can have on customers and the business alike.


You'll be expected to proactively work with cross-functional partners across the business to leverage available data, ensuring no insights are left unturned, evangelising research practices, AI-augmented ways of working, and general user-centricity throughout the company. Therefore you should be someone who is natural at building relationships and presence across the business.


You will also have the opportunity to support in growing and developing the research function and as such you're a self-starter, spotting gaps in processes and working swiftly to propose solutions.


Great research is only as valuable as its reach. You're skilled at socialising insights across the business, packaging and presenting findings in ways that stick, and making sure the right people act on them at the right time.


If you're able to do so, please share a portfolio of your work, including examples that demonstrate quantitative analysis and/or AI-augmented research workflows.

What you'll do

This role will be responsible for but not limited to the following:

• 
  

  Bring expertise across a variety of research methodologies, both quantitative and qualitative, online and offline, from at least 5 years' experience, including leading projects and deciding how to best design, manage and deliver research.

  
  


• 
  

  Help the business solve the right problems in the right way, building understanding of customer needs, and supporting teams to evaluate their solutions against them.

  
  


• 
  

  Partner closely with the analytics team so qualitative insights are backed by quantitative data wherever possible.

  
  


• 
  

  Design and run large-scale quantitative surveys that go beyond basic rating scales, using solid reasoning to surface actionable insight.

  
  


• 
  

  Bring a commercial lens to research, framing and prioritising work in terms of the value and impact it can drive for the business, not just the customer.

  
  


• 
  

  Embed AI tools into day-to-day research work (e.g. transcript/data synthesis, coding, survey design, analysis, reporting), knowing where AI adds speed and where human review and rigor are essential and help the wider team build the same habits.

  
  


• 
  

  Be a strong advocate for the customer and for research itself, packaging and presenting insights so they land with stakeholders and drive real decisions, not just sit in a report.

  
  


• 
  

  Influence, challenge and enable teams to deliver high-quality product experiences.

  
  

Who you are

• 
  

  Deep experience with both generative and evaluative research methods, comfortable independently initiating, running and communicating research end to end.

  
  


• 
  

  Commercially minded. You connect research to business outcomes and can prioritise and frame your work so it clearly ties back to commercial impact, not just user need.

  
  


• 
  

  Excellent at socialising research for impact. Skilled at packaging, presenting and landing insights so they cut through and drive action.

  
  


• 
  

  A genuine advocate for the customer and for research as a discipline, focused on where your work will have the greatest impact, with clear examples of embedding research into how products get built.

  
  


• 
  

  As an AI-first researcher you proactively use AI tools across your workflow (synthesis, coding, survey scripting, rapid analysis) to work faster and scale impact, without compromising rigor or participant privacy, and you keep pace with new tools as they emerge.

  
  


• 
  

  A fantastic communicator with strong presentation skills, especially when sharing impactful insights.

  
  


• 
  

  A natural relationship-builder with presence across the business.

  
  


• 
  

  Experienced leading research within multidisciplinary teams, equally comfortable working autonomously or collaboratively.

  
  


• 
  

  Skilled at working with peers to prioritise effectively, with clear rationale behind your decisions.

  
  


• 
  

  Thrive in a fast-paced environment, using lightweight processes, creative thinking, AI-augmented workflows and quick iteration to have a big impact

  
  


• 
  

  A keen interest and knowledge of the FinTech industry. 

  
  

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.