Senior UX Researcher, Quantitative

This position is listed on behalf of a partner company, which manages all applications and next steps. Our partner is looking for a Senior UX Researcher, Quantitative based in the United States.

This is an opportunity for an experienced quantitative researcher to shape how a growing portfolio of financial products is designed, evaluated, and improved. Working across product, design, go-to-market, and leadership teams, you will establish the quantitative research strategy and lead high-impact studies from initial questions to actionable recommendations. You will investigate user needs, test product concepts before launch, develop robust measurement frameworks, and identify meaningful customer segments.

The role combines advanced survey science, applied statistics, experimentation, and behavioral insights to support better business and product decisions. You will also help assess AI-assisted financial experiences and establish research standards across the organization. This is a senior, autonomous role in a remote-first environment where rigorous evidence and clear communication are highly valued.

• Own the research intake process and quantitative research roadmap, translating questions from product, design, go-to-market, and leadership teams into well-defined studies and prioritizing work according to business impact and decision-making needs.
• Lead pre-launch research using methods such as Max Diff, conjoint analysis, stimulus testing, matched cohorts, vignettes, and threshold studies to understand which features, benefits, and messages influence user decisions.
• Establish clear research hypotheses and decision criteria before fieldwork, and improve study instruments through cognitive interviews and other pretesting methods.
• Develop and adapt validated measurement scales for concepts such as trust, perceived security, and user comprehension, tracking results across products and markets.
• Build statistically validated and appropriately sized user segments from existing user profiles and research data.
• Ensure research quality through robust sampling strategies, weighting, translation processes, fraud prevention, and data-quality controls for a global, crypto-native audience.
• Collaborate with data science teams to connect survey findings with product usage and behavioral data.
• Design human evaluation frameworks for AI-assisted financial products, including evaluation rubrics, rater reliability measures, and assessments of whether user trust aligns with actual system reliability.
• Present findings as clear, evidence-based recommendations, communicating effect sizes, confidence levels, uncertainty, and the implications for product and business decisions.
• Respond to leadership questions with appropriately scoped research, ranging from existing-data analysis and rapid surveys to comprehensive studies.
• Establish research standards and provide guidance that enables product managers and designers to conduct reliable lightweight surveys and data-driven validation independently.

• At least 7 years of experience in UX research or applied research, including a minimum of 5 years leading quantitative studies independently from study design through analysis and recommendations.
• Demonstrated experience conducting quantitative research for financial products, such as brokerage, trading, banking, payments, wealth management, or lending.
• Strong ability to work autonomously, define research priorities, navigate ambiguous questions, and drive projects toward clear decisions with minimal guidance.
• Advanced knowledge of survey science, including sampling and weighting, questionnaire design, bias mitigation, data-quality screening, and survey programming using Qualtrics or comparable platforms.
• Practical experience designing and analyzing Max Diff and/or conjoint studies.
• Strong applied statistical skills, including regression, power analysis, and experimental and quasi-experimental research design.
• Proficiency in R or Python for statistical analysis and data visualization.
• Experience using AI-assisted research workflows, including support for survey development and analysis-code generation or review, with the ability to rigorously validate all AI-generated outputs.
• A proven record of quantitative research influencing product or business decisions.
• Excellent communication skills, particularly the ability to explain complex findings and uncertainty clearly to executives and non-research stakeholders.