Senior UX Researcher, Quantitative
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Job Description
Senior quantitative UX researcher leading research and experimentation for Ondo Finance’s blockchain-enabled investment products. Building validated insights, segments, and AI-assisted finance evaluations.
Responsibilities:
- Own the research intake and quantitative research roadmap across product, design, GTM, and leadership
- Turn vague research requests into answerable questions and prioritize evidence needs
- Use MaxDiff and conjoint to evaluate features, benefits, and messaging before launch
- Design pre-launch experiments, establish decision rules, and pretest instruments with cognitive interviews
- Adapt or develop validated scales for trust, perceived security, and comprehension across products and markets
- Create statistically validated, sized user segments
- Design sampling, translation, and fraud controls for a global, crypto-native audience
- Partner with data science to connect survey data with product data
- Design human evaluation for AI-assisted finance features, including rubrics and rater reliability
- Present findings with recommendations, effect sizes, confidence, and decision implications
- Answer ad-hoc leadership questions through existing data, pulse surveys, or full studies
- Set standards enabling PMs and designers to conduct sound lightweight surveys and data-driven validation
Requirements:
- 7+ years of UX or applied research experience, including at least 5 years leading quantitative studies end to end, from study design through recommendation
- Experience leading quantitative research studies for financial products (e.g., brokerage, trading, banking, payments, wealth or lending)
- Ability to operate with minimal guidance, scope ambiguous problems, set priorities, and drive studies to a decision
- Deep survey science expertise: sampling and weighting, instrument design, bias control, data-quality screening, and programming in Qualtrics or similar
- Hands-on experience designing and analyzing MaxDiff and/or conjoint studies
- Strong applied statistics: regression, power analysis, and experimental and quasi-experimental design
- Fluency in R or Python for analysis and visualization
- Existing AI-assisted research setup, including drafting survey instruments and writing and reviewing analysis code, with rigorous proofreading and validation
- Track record of quantitative work that changed a product or business decision
- Ability to explain uncertainty clearly to executives and non-researchers
Benefits:
- Competitive compensation including but not limited to salary, future token rights, and/or equity (according to your preferences)
- Full benefits (medical, vision, and dental)
- Flexible vacation policy (PTO)
- Remote-first team across many countries
- Opportunity to help shape the company’s vision, culture, and design practices
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