채용
We’re looking for a Staff UX Researcher (Quantitative) to join Wise in London, working within the Mitigation Chapter. The Mitigation Chapter is responsible for the verification and support experiences that underpin customer trust during and after onboarding.
At Staff level, you will define how these experiences are understood, measured, and improved at scale, ensuring they are fair, transparent, and effective for both customers and internal agents.
This is a senior individual contributor role with broad autonomy and cross-organizational influence.
Here’s how you’ll contribute
Lead high-impact quantitative research end-to-end
Own quantitative research from problem definition through analysis and recommendation, focusing on the chapter’s highest-impact questions and delivering decision-ready insights.
Define how mitigation experiences are measured
Design and own the Customer Friction and Customer Effort metrics for Verification and Support teams. Make them the guardrails that drive teams to deliver high quality experiences.
Shape product direction through evidence
Influence product roadmaps and experimentation by ensuring research insights materially shape what is built, how success is evaluated, and how trade-offs are made.
Raise the bar for quantitative UX rigor through partnership
Partner closely with product management, design, engineering, and data science to set and uphold high standards for metric quality, experimentation design, and evidence-based decision-making in senior forums.
This role will give you the opportunity to
Uncover problems at massive scale
Your work will impact how millions of customers join Wise and how dozens of internal teams build onboarding experiences
Shape one of Wise’s most critical trust engines
Your work will directly influence customer trust, agent effectiveness, and Wise’s ability to scale mitigation responsibly.
Grow the quantitative research craft at Wise
You’ll contribute to how quantitative UX research is practiced at scale, mentoring through example, shaping frameworks, and influencing how research integrates with data science and experimentation.
Be part of meaningful change
We're fixing a broken, greedy system, and putting people and businesses in control of their money.
A bit about you…
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You have deep, demonstrable experience leading quantitative UX research in product-led teams, independently framing, executing, and communicating complex research that informs real product and business decisions.
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You are fluent in empirical research methods (e.g., surveys, behavioral segmentation, regression, journey and path analysis) and apply them thoughtfully, choosing methods based on the decision at hand rather than novelty or preference.
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You intentionally combine quantitative and qualitative inputs, triangulating evidence to reach confident, well-supported conclusions rather than isolated findings.
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You work effectively with large-scale event-level and behavioral data, using analytical languages such as SQL, Python, or R to produce rigorous, reproducible analysis.
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You prioritise ruthlessly, directing research effort toward the questions that matter most for customers, risk mitigation, and the business.
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You communicate insights clearly and persuasively, using narratives and visualisations to support alignment and action.
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You are comfortable collaborating across disciplines, and influencing decisions through partnership rather than authority.
And as a heads up, this role probably isn’t for you if:
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Your experience is primarily market research and/or academia, we do recruit career changers, but not for this role.
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You prefer working from well-defined research briefs, rather than helping shape the questions, metrics, and direction of work.
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You are looking for a role with minimal ambiguity, rather than one that requires independent judgment and influence.
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You don’t have extensive and demonstrable experience in UX research within the tech/product industry
For everyone, everywhere. We're people building money without borders — without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive.
We're proud to have a truly international team, and we celebrate our differences.
Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers.
If you want to find out more about what it's like to work at Wise visit Wise.
Jobs.
Keep up to date with life at Wise by following us on LinkedIn and Instagram.
Wise is a global technology company, building the best way to move and manage the world’s money.
Min fees. Max ease. Full speed.
Whether people and businesses are sending money to another country, spending abroad, or making and receiving international payments, Wise is on a mission to make their lives easier and save them money.
As part of our team, you will be helping us create an entirely new network for the world's money.
For everyone, everywhere.
More about our mission and what we offer.
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About Wise

Wise
PublicWISE inspires girls and women to study and build careers in science, technology, engineering and manufacturing.
1-50
Employees
Bradford
Headquarters
$8.0B
Valuation
Reviews
2.8
9 reviews
Work Life Balance
2.1
Compensation
3.2
Culture
2.3
Career
2.8
Management
1.9
25%
Recommend to a Friend
Pros
Great coworkers and positive relationships
Good benefits and time off
Training and promotion opportunities
Cons
Poor management and lack of support
Toxic workplace environment and micromanaging
Poor work-life balance and long hours
Salary Ranges
113 data points
Mid/L4
Senior/L5
Mid/L4 · Product Application Analyst
1 reports
$87,400
total / year
Base
$76,000
Stock
-
Bonus
-
$87,400
$87,400
Interview Experience
4 interviews
Difficulty
2.3
/ 5
Duration
14-28 weeks
Offer Rate
50%
Experience
Positive 25%
Neutral 25%
Negative 50%
Interview Process
1
Application Review
2
Recruiter Screen
3
Online Interview Round
4
Technical/Role-specific Interview
5
Final Interview
6
Offer Decision
Common Questions
Technical Knowledge
Past Experience
Behavioral/STAR
Role-specific Skills
Problem Solving
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