Senior UX Researcher, Quantitative

About the role

At Ondo Finance, the Senior UX Researcher will take ownership of the quantitative research roadmap, addressing research inquiries from various teams like product and design. This role is essential in transforming ambiguous questions into actionable insights that guide product decisions and mitigate risks.

The company specializes in blockchain-enabled investment products and is recognized as a leader in tokenized financial services. As a fully remote team, Ondo Finance values self-starters who can work independently and drive research initiatives that influence product direction and user experience.

Skills that matter here

• UX research: This role requires strong UX research skills to lead studies that inform product design and user experience.
• quantitative research: Quantitative research expertise is essential for developing evidence-based insights that guide decision-making.
• survey design: Designing effective surveys is crucial for collecting reliable data from users.
• data analysis: Data analysis skills will be used to interpret survey results and connect them to user behavior.
• R: Fluency in R is necessary for statistical analysis and data visualization.
• Python: Python is also required for analysis and coding related to research projects.

Who this role suits

• A candidate who thrives in a remote setting and can take initiative without much guidance.
• Someone with a strong background in quantitative research, especially in financial products.
• An individual who enjoys tackling ambiguous problems and can prioritize effectively.
• A person who communicates complex statistical concepts clearly to non-research audiences.

From the employer

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.

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).
• A self-starter who operates with minimal guidance: you scope ambiguous problems, set your own 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.
• You have an existing AI-assisted research setup, from drafting survey instruments to writing and reviewing analysis code, and you proofread/validate every output with rigor.
• A track record of quantitative work that changed a product or business decision, and the ability to explain uncertainty clearly to executives and non-researchers.

What We Offer

• Competitive compensation including but not limited to salary, future token rights, and/or equity (according to your preferences) — We are well-funded and believe that great talent deserves great compensation.
• Full benefits (medical, vision, and dental) and flexible vacation policy (PTO).
• Remote-first team across many countries — You will be an early team member helping shape our vision, culture, and design practices.
• A+ colleagues — Our team includes alumni from: Goldman Sachs, Blackrock, Two Sigma, Bridgewater, SpaceX, AWS, Meta, Google, McKinsey, Circle, Uniswap.
• Best-in-class investors — We are proud to be backed by leading crypto experts and VCs, including Pantera Capital, Founders Fund and Coinbase Ventures.