Senior UX Researcher, Quantitative

• 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.

Additional strengths that would be an advantage:

• Experience with cryptocurrency, onchain products, or tokenized assets.
• A master’s degree or PhD in a quantitative discipline, such as statistics, survey methodology, behavioral economics, or marketing science.
• Advanced methodological expertise in areas such as hierarchical Bayes, simulation models, psychometric scale development, segmentation, pricing research, SQL, or multilevel modeling.
• Experience evaluating AI- or LLM-powered products, including human evaluation frameworks, assessment rubrics, and rater reliability.
• Experience conducting research across LATAM, APAC, or EMEA markets, including translating and adapting survey instruments.
• Familiarity with responsible AI-enabled research practices, such as using LLM tools to accelerate instrument development, open-ended response coding, and analysis.

• Competitive compensation, which may include salary, future token rights, and/or equity, with options aligned to individual preferences.
• Comprehensive medical, dental, and vision coverage.
• Flexible paid time off and vacation policy.
• Remote-first working environment with a geographically…