Senior UX Researcher, Quantitative

Ondo Finance

. Own the research intake and quantitative research roadmap across product, design, GTM, and leadership .

Posted 10/28/2026full-timeRemote • United StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates extensive expertise in quantitative research methodologies, including survey design, data analysis, and statistical validation, particularly within financial products. Proven ability to lead research initiatives that inform product decisions and enhance user experience through data-driven insights.

Highest-signal resume keywords

Quantitative Research LeadershipSurvey Science ExpertiseMaxDiff And Conjoint AnalysisFluency In R Or PythonApplied Statistics

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Quantitative ResearchSurvey DesignData AnalysisStatistical ValidationSampling And WeightingBias ControlExperimental DesignMaxDiff AnalysisConjoint AnalysisData Quality Screening

Soft Skills

Problem-SolvingCommunicationDecision-MakingCollaborationAdaptability

Tools & Technologies

QualtricsRPythonStatistical SoftwareData Visualization Tools

Industry Keywords

Financial ProductsUser ExperienceAI-Assisted ResearchCognitive InterviewsGlobal Audience Research

Tech Stack

Tools & technologies

Python

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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