Senior UX Researcher, Quant Analytics (Crypto Finance) Remote

Jobgether; United States; Remote; USD 120,000 - 190,000; Full time

Benefits offered by this job

Competitive compensation (including 1)

Medical, dental, and vision coverage

Flexible paid time off

Remote-first working environment

Early-stage impact and cross-orgCollab

Token/crypto equity options

Job summary

Jobgether is seeking an accomplished UX researcher to lead quantitative studies for crypto-native financial products. You will design and execute research that shapes product strategy across product, design, and GTM teams, translating complex questions into actionable insights.

In a remote-first environment, you will build validated measurement scales, run MaxDiff/conjoint studies, and collaborate with data science to link survey results with usage data, driving decisions with clear evidence and

Qualifications

• 7+ years in UX or applied research with a quantitative focus.
• Experience conducting quantitative research for financial products (brokerage, banking, payments, wealth management, or lending).
• Ability to work autonomously, define priorities, and drive projects with minimal guidance.
• Advanced knowledge of survey science: sampling, weighting, questionnaire design, bias mitigation, data-quality screening, and survey programming using Qualtrics or similar tools.
• Practical experience designing and analyzing MaxDiff and/or conjoint studies.
• Strong statistical skills: regression, power analysis, experimental and quasi-experimental design.
• Proficiency in R or Python for analysis and data visualization.
• Experience using AI-assisted research workflows, including validation of AI outputs.

Responsibilities

• 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 MaxDiff, 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.

Skills

Quantitative research leadership

Survey design & programming

R or Python for analysis

AI-assisted research workflows

Education

Master's degree in quantitative field

PhD preferred

Tools

Qualtrics

R

Python

SQL

Job description

Jobgether is seeking an accomplished UX researcher to lead quantitative studies for crypto-native financial products. You will design and execute research that shapes product strategy across product, design, and GTM teams, translating complex questions into actionable insights.

In a remote-first environment, you will build validated measurement scales, run MaxDiff/conjoint studies, and collaborate with data science to link survey results with usage data, driving decisions with clear evidence and