Senior UX Researcher, Quantitative
Ondo Finance, a leader in tokenized/institutional onchain investment products, is hiring a Senior Quantitative UX Researcher to build and lead quantitative research across its product suite — designing surveys, MaxDiff/conjoint studies, and experiments that drive product and business decisions. Core stack: Qualtrics, R or Python, applied statistics.
- Compensation
- Not disclosed
- Location
- Remote (US)
- Work setup
- Remote
- Seniority
- Senior
- Employment
- Not specified
- Experience
- 5+ years
- Category
- Design
- Posted
Skills
Must have
- 7+ years of UX or applied research experience, including 5+ years leading quantitative studies end to end
- Experience leading quantitative research for financial products (brokerage, trading, banking, payments, wealth or lending)
- Self-starter who scopes ambiguous problems and drives studies to a decision with minimal guidance
- Deep survey science expertise: sampling, weighting, instrument design, bias control, data-quality screening, Qualtrics programming
- Hands-on experience designing and analyzing MaxDiff and/or conjoint studies
- Strong applied statistics: regression, power analysis, experimental and quasi-experimental design
- Fluency in R or Python for analysis and visualization
- Existing AI-assisted research setup, with rigorous proofreading/validation of outputs
- Track record of quantitative work that changed a product or business decision, and explaining uncertainty to executives
Nice to have
- Experience with crypto, onchain or tokenized-asset products
- Master's or PhD in a quantitative field (statistics, survey methodology, behavioral economics, marketing science)
- Advanced methods: hierarchical Bayes and simulators, psychometric scale development, segmentation, pricing research, SQL, multilevel modeling
- Experience evaluating AI/LLM-powered products (human evaluation design, rubrics, rater reliability)
- Research across markets in LATAM, APAC or EMEA, including translating survey instruments
- Responsible AI-native research workflows (LLM tools for instrument design, coding open-ended responses, analysis)
Full description
About the company
Hi, we're Ondo Finance. Our mission is to provide institutional-grade, blockchain-enabled investment products and services. We have both a technology arm that develops decentralized finance technology, and an asset management arm that creates and manages tokenized funds. We are the global leader in tokenized treasuries, tokenized stocks and ETFs, and are building the future of institutional-grade financial services onchain.
Founded by folks from Goldman Sachs Digital Assets Team, we’re backed by some of the best investors in the world including Founders Fund, Coinbase Ventures, Pantera Capital, Tiger Global, and more. We are currently the leaders in the space in terms of AUM and are well capitalized to continue growing the firm. We're fully remote, with team members across the U.S.
About the role
Ondo's user research team is small but mighty, and works horizontally across the whole product suite, not inside a single pod. We're hiring a senior quantitative user researcher to build and lead quantitative research across the portfolio.
You'll set your own UXR strategy with minimal guidance, take on the hardest decision-shaping questions whichever team they come from, and answer them with evidence that holds up at scale.
What You'll Do
- Own the research intake and quant roadmap. Field research questions from product, design, GTM and leadership. Turn vague asks into answerable questions, decide which need quantitative evidence (and which don't), and prioritize where evidence most reduces risk on our biggest bets.
- Answer the big questions before launch. Use MaxDiff and conjoint to show which features, benefits and messages actually drive decisions. Design pre-launch experiments (stimulus tests, matched cohorts, vignettes, threshold studies) with decision rules set before fielding, and pretest instruments with cognitive interviews.
- Build measurement and segments that last. Adapt or develop validated scales for trust, perceived security and comprehension, track them across products and markets, and turn our user profiles into statistically validated, sized segments.
- Get data you can trust, and connect it to behavior. Design sampling, translation and fraud controls for a global, crypto-native audience, and partner with data science to link survey data with product data.
- Evaluate AI-assisted experiences. Design human evaluation for AI-assisted finance features: rubrics, rater reliability, and whether user trust matches how reliable the system actually is.
- Be leadership's partner for evidence. Present findings as recommendations with effect sizes, confidence and what would change the call. Give quick, right-sized answers to ad-hoc leadership questions, whether that's existing data, a fast pulse survey or a full study. Set the standards that let PMs and designers run sound lightweight surveys or data-driven validation themselves.