UX Quantitative Researcher

📍 Job Overview

Job Title: UX Quantitative Researcher

Company: Citi

Location: New York, New York, United States

Job Type: FULL_TIME

Category: User Experience Research / Data Analytics

Date Posted: May 18, 2026

Experience Level: 5-10 Years

Remote Status: Hybrid

🚀 Role Summary

• Drive significant improvements in client digital experiences by leveraging quantitative user research methodologies and data-driven insights.

• Collaborate closely with UX, Product Management, and Technology teams to translate user needs and behaviors into actionable product enhancements.

• Utilize a range of quantitative research methods, including survey design, behavioral analytics, regression analysis, and log analysis, to inform product strategy and development.

• Generate essential inputs for designing user-centric products that meet and exceed client expectations, influencing all stages of the product lifecycle.

• Contribute to a large-scale digital transformation by representing client needs and behaviors through impactful, data-backed insights.

📝 Enhancement Note: This role is positioned within Citi's Design & User Experience organization, indicating a strategic focus on integrating user research directly into the product development lifecycle. The emphasis on "clients' digital experiences" and "large-scale digital transformation" suggests the role will have a broad impact across Citi's global digital platforms.

📈 Primary Responsibilities

• Design, execute, and analyze quantitative UX research studies, including surveys, in-product intercepts, and behavioral data analysis, to understand user needs and behaviors.

• Translate complex quantitative data sets into clear, actionable insights and concrete recommendations for improving user experience and product design.

• Conduct driver analyses and longitudinal impact studies by integrating self-reported and behavioral data to measure the effectiveness of UX initiatives.

• Collaborate with cross-functional partners (UX, Product Management, Technology) to define research questions, prioritize research investments, and influence product roadmaps.

• Present research findings and recommendations effectively to diverse stakeholders, including executive leadership, technical teams, and non-technical audiences.

• Develop and maintain data dashboards to visualize key user behavior metrics and research outcomes, facilitating ongoing monitoring and decision-making.

• Stay abreast of the latest quantitative UX research methodologies, tools, and best practices to continuously enhance research quality and impact.

• Contribute to the strategic prioritization of research initiatives, ensuring alignment with business objectives and client experience goals.

📝 Enhancement Note: The responsibilities highlight a blend of foundational research execution and strategic influence. The emphasis on "influencing all stages of product development" and "representing the wants and needs of our clients through impactful insights" suggests this role is pivotal in shaping product strategy, not just gathering data.

🎓 Skills & Qualifications

Education:

• Bachelor's degree in Human-Computer Interaction (HCI), Cognitive Science, Statistics, Psychology, Anthropology, or a related quantitative field, or equivalent practical experience.

Experience:

• Minimum of 5 years of experience in an applied research setting.

• Minimum of 3 years of dedicated product research experience in an applied setting.

Required Skills:

• Expertise in survey design, sampling methodologies, and advanced statistical analysis techniques (descriptive, inferential, and multivariate statistics, including t-tests, correlations, regression analysis).

• Demonstrated expertise in designing, collecting, and analyzing data from in-product intercepts and site metrics.

• Proficiency in statistical analysis software such as SPSS, Qualtrics, or similar platforms.

• Strong data visualization skills and experience with data visualization tools for communicating complex findings.

• Ability to translate complex quantitative data into actionable insights and concrete, user-centric recommendations.

• Excellent written and verbal communication skills, with a proven ability to present research findings and strategic recommendations to both technical and non-technical stakeholders.

• Solid understanding of experimental design principles and methodologies.

Preferred Skills:

• Experience building and managing data dashboards for monitoring user behavior and research outcomes.

• Familiarity with advanced statistical modeling techniques and longitudinal study design.

• Experience conducting research within a large financial services or enterprise technology organization.

• Experience working with agile development teams and integrating research into iterative product development cycles.

📝 Enhancement Note: The educational requirements emphasize a strong quantitative background. The experience requirements are clearly delineated between general applied research and specific product research, with a preference for experience interacting with senior leadership, indicating the strategic impact of this role.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Showcase a minimum of 3-5 distinct quantitative UX research projects that demonstrate your ability to drive product decisions.

• For each project, clearly articulate the research problem, your methodology (e.g., survey design, experimental setup, data analysis techniques), key findings, and the resulting impact on product design or business outcomes.

• Provide examples of how you translated complex quantitative data into actionable recommendations that influenced product strategy or user experience improvements.

• Include evidence of your proficiency in statistical analysis software (e.g., SPSS, Qualtrics) and data visualization tools.

Process Documentation:

• Demonstrate understanding of the end-to-end research process, from defining research objectives and designing studies to data analysis, synthesis, and stakeholder communication.

• Showcase experience with iterative research cycles, where findings from one study informed the design and execution of subsequent research.

• Provide examples of how you documented research plans, methodologies, and findings for clear communication and knowledge sharing within cross-functional teams.

• Illustrate your approach to measuring the impact of UX interventions and reporting on key performance indicators (KPIs) derived from research insights.

📝 Enhancement Note: For a quantitative researcher role, the portfolio should heavily emphasize data-driven problem-solving and measurable impact. Candidates should be prepared to detail the statistical rigor of their studies and the concrete business or product outcomes achieved.

💵 Compensation & Benefits

Salary Range: $157,040 - $235,560 annually.

Benefits:

• Comprehensive medical, dental, and vision coverage for employees and eligible dependents.

• 401(k) retirement savings plan with company matching contributions.

• Life, accident, and disability insurance policies to provide financial security.

• Access to wellness programs designed to support employee health and well-being.

• Generous paid time off (PTO) package, including planned time off (vacation), unplanned time off (sick leave), and paid holidays.

Working Hours:

• Standard full-time workweek, typically 40 hours.

• Given the hybrid work arrangement, flexibility may be expected for collaborative sessions and key project milestones.

📝 Enhancement Note: The provided salary range is competitive for a senior quantitative UX researcher role in a high-cost-of-living area like New York City. The benefits package is robust, typical of a large financial institution like Citi. The note on "discretionary and formulaic incentive and retention awards" suggests performance-based bonuses are a possibility.

🎯 Team & Company Context

🏢 Company Culture

Industry: Financial Services / Banking. Citi operates as a leading global financial institution, providing a wide range of financial products and services to consumers, corporations, and governments worldwide. This context implies a strong emphasis on data security, regulatory compliance, and client trust.

Company Size: Citi is a large, multinational corporation with a significant global presence. This size means opportunities for diverse career paths, large-scale impact, and exposure to complex organizational structures. For operations professionals, it suggests well-established processes but also potential bureaucracy, requiring strong stakeholder management skills.

Founded: Citi's history dates back to 1812, indicating a long-standing presence and deep-rooted expertise in the financial sector. This longevity suggests stability, a commitment to evolving with market changes, and a culture that values tradition alongside innovation.

Team Structure:

• The UX Quantitative Researcher will be part of the Design & User Experience organization, likely working within a dedicated UX research team or embedded within product development squads.

• This team structure emphasizes cross-functional collaboration, requiring close partnership with UX designers, product managers, engineers, and potentially data scientists.

Methodology:

• Data-driven decision-making is paramount, with a strong focus on leveraging quantitative insights to inform product strategy and design.

• Iterative development and continuous feedback loops are essential for transforming digital experiences.

• Emphasis on understanding and addressing client needs and behaviors to drive product priorities and ensure progress.

• A culture that values research integrity, rigorous analysis, and the ability to translate complex findings into actionable recommendations.

Company Website: https://www.citi.com/

📝 Enhancement Note: Citi's standing as a global financial institution means that operational roles are critical for maintaining stability, security, and client trust. The emphasis on digital transformation suggests a forward-looking approach to technology and customer experience, making this UX research role highly strategic.

📈 Career & Growth Analysis

Operations Career Level: This role is at a mid-to-senior level (5-10 years of experience), signifying a strategic contributor capable of leading research initiatives and influencing product direction. The expectation to work with executive leadership further elevates its strategic importance.

Reporting Structure: The role reports into the Design & User Experience organization, likely with a reporting line to a Lead UX Researcher, UX Research Manager, or Director of UX. Direct collaboration with Product Management and Technology leadership is expected, demonstrating a matrixed influence.

Operations Impact: The UX Quantitative Researcher's work directly impacts the client experience across Citi's digital platforms. By providing data-backed insights into user needs and behaviors, this role influences product prioritization, feature development, and the overall effectiveness and usability of digital tools, ultimately contributing to client satisfaction, retention, and digital adoption.

Growth Opportunities:

• Specialization: Deepen expertise in specific quantitative methodologies (e.g., advanced statistical modeling, causal inference) or product domains within financial services.

• Leadership: Progress into a Senior UX Researcher role, Lead Researcher, or Managerial positions, overseeing research projects and mentoring junior researchers.

• Cross-Functional Mobility: Transition into Product Management, Data Science, or Strategy roles by leveraging a strong understanding of user behavior and data analysis.

• Industry Expertise: Become a recognized expert in UX research within the financial services industry, contributing to best practices and thought leadership.

• Impact Amplification: Lead research for high-visibility, large-scale digital transformation initiatives within Citi.

📝 Enhancement Note: The career path for a quantitative UX researcher at a company like Citi can be very strong, offering opportunities to move into more senior individual contributor roles or management. The ability to influence product strategy is a key indicator of growth potential.

🌐 Work Environment

Office Type: Hybrid work environment, with a primary location at 388 Greenwich Street in New York City. This suggests a mix of in-office collaboration and remote work flexibility.

Office Location(s): 388 Greenwich Street, New York, New York, United States. This is a major corporate office for Citi, likely equipped with modern facilities to support collaboration and productivity.

Workspace Context:

• The physical workspace at the Greenwich Street office is expected to facilitate collaboration, with access to meeting rooms, shared workspaces, and potentially dedicated areas for research activities.

• Access to necessary technology and tools for data analysis, visualization, and communication will be provided to support the hybrid work model.

Work Schedule:

• Standard full-time hours (approximately 40 hours per week) are expected.

• The hybrid arrangement allows for flexibility in choosing which days to work from the office versus remotely, enabling individuals to balance personal needs with team collaboration requirements. Specific in-office days may be determined by team needs and project schedules.

📝 Enhancement Note: The hybrid model at a major financial hub like New York City offers a balance of in-person collaboration and personal flexibility, which is increasingly valued by professionals in research and operations roles.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: HR or Recruiter call to assess basic qualifications, experience, and interest in the role.

• Hiring Manager Interview: Discussion focusing on your background, experience with quantitative UX research, understanding of the role, and alignment with Citi's culture. Expect behavioral questions.

• Technical Interview / Portfolio Review: This is a critical stage. You will likely present 1-2 case studies from your portfolio, detailing your process, methodology, findings, and impact. Be prepared to answer in-depth questions about your statistical approach, data analysis, and how you translated insights into action.

• Cross-Functional Interview(s): Interviews with key stakeholders (e.g., Product Manager, UX Designer, Engineering Lead) to assess collaboration skills, communication style, and ability to influence product decisions.

• Final Interview: Often with a senior leader (Director level or above) to discuss strategic thinking, leadership potential, and overall fit.

Portfolio Review Tips:

• Quant Focus: Ensure your portfolio prominently features quantitative research projects. Detail the sample sizes, statistical significance, and quantitative impact of your work.

• Methodology Deep Dive: Be ready to explain the rationale behind your chosen methodologies. Why was a survey more appropriate than an intercept? What statistical tests did you use and why?

• Impact & Actionability: Clearly articulate how your research findings led to specific product changes or business outcomes. Quantify the impact whenever possible (e.g., "led to a 15% increase in conversion," "reduced task completion time by 20%").

• Data Visualization: Showcase your ability to present complex data clearly and compellingly through well-designed charts and dashboards.

• Storytelling: Structure your case studies as narratives that highlight the problem, your approach, the insights, and the resolution/impact.

Challenge Preparation:

• Statistical Prowess: Be prepared for questions that test your understanding of statistical concepts, experimental design, and data interpretation. You might be asked to critique a study design or interpret a dataset.

• Problem-Solving Scenarios: Anticipate hypothetical scenarios where you'd need to design a quantitative research study to address a specific product problem. Focus on your thought process, methodology selection, and how you'd measure success.

• Stakeholder Management: Practice articulating how you would communicate complex findings to different audiences and handle pushback or differing opinions.

📝 Enhancement Note: Given the role's quantitative nature, the portfolio review will be heavily scrutinized for statistical rigor, methodological soundness, and demonstrable business impact. Candidates should prepare to defend their research choices and quantify their contributions.

🛠 Tools & Technology Stack

Primary Tools:

• Statistical Analysis Software: SPSS, Qualtrics (specifically its survey design and analysis capabilities), R, Python (with libraries like SciPy, NumPy, Pandas).

• Data Visualization Tools: Tableau, Power BI, Looker, or similar platforms for creating dashboards and reports.

• Survey Platforms: Qualtrics, SurveyMonkey, or custom-built internal tools for survey deployment and data collection.

Analytics & Reporting:

• Behavioral Analytics Platforms: Google Analytics, Adobe Analytics, or specialized product analytics tools (e.g., Mixpanel, Amplitude) for tracking user interactions.

• Log Analysis Tools: Tools for parsing and analyzing server logs to understand user behavior patterns (specific tools may vary).

• Reporting Tools: Internal Citi reporting frameworks and tools for aggregating and disseminating key metrics.

CRM & Automation:

• While not the primary focus, understanding how CRM data (e.g., Salesforce) or customer data platforms (CDPs) might inform research questions or be used in conjunction with research findings is beneficial.

• Automation tools for survey distribution or data processing might be relevant.

📝 Enhancement Note: Proficiency in industry-standard quantitative research tools, particularly survey platforms and statistical software, is non-negotiable. Experience with data visualization for executive reporting is also a key differentiator.

👥 Team Culture & Values

Operations Values:

• Client Focus: A deep commitment to understanding and serving the needs of Citi's diverse client base through data-driven insights.

• Integrity & Trust: Upholding the highest ethical standards in research practices and data handling, essential in the financial services industry.

• Excellence in Execution: A drive for rigorous, high-quality research that provides robust evidence for decision-making.

• Collaboration: A proactive approach to working with cross-functional teams, fostering an environment of shared understanding and mutual respect.

• Innovation: Embracing new methodologies and technologies to continuously improve the client digital experience and research effectiveness.

Collaboration Style:

• Partnership-Oriented: Working closely with UX Designers to ensure research questions align with design challenges and with Product Managers to ensure insights inform strategic priorities.

• Data-Led Communication: Using data and insights as the foundation for discussions and decision-making, fostering objective conversations.

• Feedback-Rich Environment: Encouraging constructive feedback on research designs, findings, and recommendations to ensure continuous improvement.

• Cross-Functional Knowledge Sharing: Actively sharing research outcomes and methodologies across teams to build a collective understanding of user behavior and drive consistency in client experience.

📝 Enhancement Note: Given Citi's industry, the emphasis on integrity, trust, and client focus will be paramount. The collaborative style will likely be structured, with clear communication channels and a focus on delivering actionable, data-backed recommendations.

⚡ Challenges & Growth Opportunities

Challenges:

• Scale and Complexity: Navigating the sheer scale and complexity of Citi's digital ecosystem and client base to conduct meaningful research.

• Data Silos: Integrating data from various sources and overcoming potential challenges in data accessibility or consistency across different business units.

• Balancing Rigor and Speed: Delivering high-quality, statistically sound research within the fast-paced cycles of digital product development.

• Influencing Stakeholders: Effectively communicating complex quantitative findings and driving buy-in for recommendations among diverse groups, including senior leadership.

Learning & Development Opportunities:

• Advanced Methodologies: Access to training and opportunities to learn and apply advanced statistical techniques, causal inference, and predictive modeling.

• Financial Services Expertise: Developing deep domain knowledge within the financial services industry, understanding its unique user needs and regulatory landscape.

• Cross-Functional Leadership: Opportunities to lead research initiatives that span multiple product lines or business units, enhancing strategic influence.

• Industry Conferences & Certifications: Support for attending relevant UX research and data science conferences, and potentially pursuing certifications.

• Mentorship Programs: Access to mentorship from senior researchers or leaders within Citi's Design & User Experience organization.

📝 Enhancement Note: This role offers significant challenges related to scale and complexity, but also immense growth opportunities for those who can navigate these effectively and contribute to critical digital transformation efforts.

💡 Interview Preparation

Strategy Questions:

• "How would you approach designing a quantitative study to understand the primary drivers of client churn on our mobile banking app?" (Focus on methodology, metrics, and potential analyses like regression).

• "Describe a time you had to translate complex statistical findings into actionable recommendations for a non-technical audience. What was the outcome?" (Prepare a STAR method answer focusing on communication and impact).

Company & Culture Questions:

• "What interests you about conducting UX research at a global financial institution like Citi?" (Research Citi's recent digital initiatives, client focus, and values).

• "How do you ensure your research aligns with business objectives and contributes to the company's strategic goals?" (Connect your research approach to driving client satisfaction, adoption, or efficiency).

Portfolio Presentation Strategy:

• Select Wisely: Choose 2-3 projects that best showcase your quantitative skills, impact, and relevance to this role. Ensure diversity in methodologies if possible.

• Structure Your Narrative: For each case study: Problem -> Your Role -> Methodology (with statistical details) -> Key Findings (quantified) -> Recommendations -> Impact/Outcome.

• Quantify Everything: Emphasize numbers – sample sizes, statistical significance, impact metrics (e.g., conversion rates, task success, time on task).

• Be Ready for Deep Dives: Anticipate detailed questions about your statistical choices, data cleaning processes, and any challenges encountered.

• Showcase Collaboration: Briefly mention how you worked with other teams and how your insights were integrated into product development.

📝 Enhancement Note: The interview process will heavily scrutinize your quantitative research skills and your ability to translate data into actionable business insights. Be prepared to discuss statistical concepts and defend your methodological choices confidently.

📌 Application Steps

To apply for this operations position:

• Submit your application through the provided Workday link.

• Portfolio Customization: Curate your resume and portfolio to prominently feature your experience with quantitative UX research, statistical analysis, survey design, and behavioral analytics. For each project, clearly state the quantitative impact and how your insights influenced product decisions.

• Resume Optimization: Ensure your resume clearly highlights your years of experience in applied research and product research, mentioning specific tools like SPSS and Qualtrics. Use keywords from the job description such as "quantitative research," "user experience," "behavioral analytics," and "statistical analysis."

• Interview Preparation: Practice articulating your research process, methodologies, and the business impact of your work. Prepare specific examples using the STAR method for behavioral questions and be ready to walk through your portfolio case studies in detail.

• Company Research: Understand Citi's mission, values, and recent digital transformation efforts. Familiarize yourself with their client offerings and the competitive landscape in financial services. This will help you tailor your responses and demonstrate genuine interest.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and operations industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.

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