UX Researcher
π Job Overview
Job Title: UX Researcher
Company: StoneX Group
Location: KrakΓ³w, Lesser Poland Voivodeship, Poland
Job Type: FULL_TIME
Category: User Experience Research / Product Insights
Date Posted: April 30, 2026
Experience Level: Mid-Level (5-10 years)
Remote Status: On-site
π Role Summary
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Conduct comprehensive user research studies to uncover user behaviors, needs, pain points, and preferences, directly impacting product development strategy.
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Leverage a diverse toolkit of qualitative and quantitative research methodologies, including interviews, surveys, usability testing, and competitive analysis, to gather robust data.
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Analyze and synthesize complex research data to generate actionable insights and strategic recommendations for product enhancements and new feature development.
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Develop and utilize user-centric design artifacts such as personas and journey maps to effectively communicate user understanding and guide product teams.
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Advocate for a user-centered design (UCD) philosophy across the organization, ensuring user insights are prioritized in all product decision-making processes.
π Enhancement Note: This role focuses on a Mid-Level UX Researcher, implying a need for independent execution of research projects and significant contribution to strategic product decisions. The emphasis on "AI UX Research" suggests a forward-thinking approach and a requirement for candidates to be adept with emerging technologies in the field. The "finance industry/products" experience is a strong plus, indicating that domain knowledge will be highly valued.
π Primary Responsibilities
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Plan, design, and execute user research studies to thoroughly understand user behavior, preferences, pain points, goals, and needs.
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Employ a wide array of research methods, including in-depth interviews, surveys, usability testing (moderated and unmoderated), competitive analysis, and market research, to gather comprehensive data.
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Maintain and develop expertise in AI UX Research methodologies and tools, integrating them into the research process.
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Analyze and synthesize qualitative and quantitative research data, translating findings into clear, actionable insights and strategic recommendations for product development.
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Create and maintain key user-centric design artifacts, such as detailed personas, user journey maps, and empathy maps, to inform product design and strategic roadmaps.
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Foster close collaboration with cross-functional teams, including Business Product Managers, UX/UI Designers, and Engineers, to ensure seamless integration of user research findings into the product development lifecycle.
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Champion the principles of user-centered design throughout the organization, actively promoting the value of user research in shaping product decisions and strategy.
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Work closely with UX/UI Designers, Product Managers, and Engineers to prioritize research opportunities within an outcome-focused, agile product development environment.
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Demonstrate schedule flexibility and a willingness to travel as needed to accommodate the needs of global teams and research initiatives.
π Enhancement Note: The responsibilities highlight a blend of hands-on research execution and strategic influence. The mention of "AI UX Research" and "working with UX/UI Designers, Product Managers, Engineers and business to prioritise research opportunities in an outcome-focused environment" indicates a need for practical application of research findings and proactive engagement with product teams. The requirement for schedule flexibility and travel suggests a global operational context.
π Skills & Qualifications
Education:
Experience:
- Minimum of 5 years of dedicated experience in User Experience (UX) Research, with a strong preference for experience within a product-focused or technology-driven environment.
Required Skills:
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Proven expertise in planning, designing, and conducting a wide range of user research studies, including qualitative (interviews, ethnography) and quantitative (surveys, analytics) methods.
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Proficiency in usability testing techniques, including test design, moderation, and analysis of results to identify usability issues and user friction points.
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Strong analytical and synthesis skills, with the ability to derive actionable insights and strategic recommendations from complex datasets.
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Experience in creating and utilizing user experience artifacts such as personas, journey maps, and user flows to communicate user needs and inform design decisions.
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Demonstrated ability to effectively communicate research findings, insights, and recommendations to diverse stakeholders, including product managers, designers, engineers, and leadership.
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Familiarity with AI applications in UX research, including understanding its potential and limitations, and how to leverage AI tools for research enhancement.
Preferred Skills:
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Experience within the finance industry or with financial products, which would be a significant advantage due to StoneX Group's domain.
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Proficiency with common UX research and collaboration platforms (e.g., Dovetail, UserTesting.com, Qualtrics).
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Familiarity with UX/UI design and prototyping tools such as Figma, Axure, Sketch, or Adobe XD, to better collaborate with design teams and understand design outputs.
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Experience working in a global company operating context, understanding diverse user bases and cross-cultural communication nuances.
π Enhancement Note: The qualifications emphasize both foundational UX research skills and a forward-looking approach with AI integration. The "5+ years" implies a need for seasoned professionals capable of independent work. The preference for finance industry experience is a key differentiator for candidates. Familiarity with design tools is beneficial for cross-functional collaboration.
π Process & Systems Portfolio Requirements
Portfolio Essentials:
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A compelling portfolio showcasing a minimum of 3-5 distinct UX research projects, demonstrating a clear research process from initiation to impact.
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Each project should clearly articulate the research objectives, methodologies employed, participant recruitment strategy, execution details, key findings, and the actionable recommendations made.
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Evidence of how your research insights directly influenced product design decisions, feature development, or strategic product direction, ideally with measurable outcomes or impact.
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Documentation of your process for synthesizing data, identifying patterns, and translating complex findings into clear, concise, and persuasive presentations for various stakeholders.
Process Documentation:
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Demonstrate a systematic approach to research planning, including defining research questions, selecting appropriate methodologies, and outlining study protocols.
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Showcase your methods for ethical research conduct, including participant consent, data privacy, and unbiased data collection.
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Provide examples of how you have integrated research findings into agile development sprints, working with product managers and designers to iterate on designs based on user feedback.
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Illustrate your approach to communicating research findings, including presentation decks, reports, and collaborative workshops, tailored to different audience needs.
π Enhancement Note: For a UX Researcher role, a robust portfolio is paramount. It should not just list projects but tell a story of impact, demonstrating how research translated into tangible product improvements and business value. The emphasis on "AI UX Research" should ideally be reflected in at least one project, showcasing innovative approaches.
π΅ Compensation & Benefits
Salary Range:
Based on industry benchmarks for a Mid-Level UX Researcher with 5+ years of experience in a major European city like Krakow, and considering the AI UX Research specialization and potential finance industry relevance, an estimated annual gross salary range would be between β¬50,000 and β¬75,000. This range is an estimate and can vary based on the candidate's specific experience, qualifications, and the final negotiated package.
Benefits:
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Comprehensive health insurance package, potentially including dental and vision coverage.
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Opportunity to contribute to innovative financial technology products, gaining valuable domain expertise.
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Generous paid time off (PTO) policy, including vacation days, public holidays, and sick leave.
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Professional development opportunities, such as training, conferences, and workshops, particularly in areas like AI UX Research.
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Potential for performance-based bonuses or incentives.
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Access to company-sponsored learning platforms and resources.
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Pension or retirement savings plan contributions.
Working Hours:
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Standard full-time working hours are typically around 40 hours per week.
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The role requires schedule flexibility to accommodate global team meetings and research needs, which may occasionally involve working outside of standard local business hours.
π Enhancement Note: Salary estimates for Krakow, Poland, are based on research from sites like Glassdoor, SalaryExpert, and LinkedIn Salary, adjusted for a mid-level UX Researcher role with specialized skills. Benefits are standard for multinational tech/finance companies, with emphasis on professional growth relevant to the role.
π― Team & Company Context
π’ Company Culture
Industry: Financial Services & Technology. StoneX Group operates within the global financial markets, providing a wide range of trading, advisory, and payment services. This context means the company values precision, reliability, security, and innovation in its technological offerings.
Company Size: StoneX Group is a significant global financial institution. While exact employee numbers fluctuate, it's a large enterprise with thousands of employees worldwide. This size implies a structured environment with established processes, but also opportunities for impact within specialized teams.
Founded: StoneX Group has a long history, tracing its roots back to 1924. This longevity suggests stability, deep industry knowledge, and a culture that evolves with market dynamics while retaining core values.
Team Structure:
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The UX Research team is likely part of a larger Product or Technology division, comprising UX/UI Designers, Product Managers, and Engineers.
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The team structure will likely involve a mix of senior and mid-level researchers, with clear reporting lines to a UX Research Lead or Head of Product Design.
Methodology:
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Data-driven decision-making is paramount, with a strong emphasis on both quantitative market data and qualitative user insights.
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Agile methodologies are likely employed for product development, requiring research to be iterative and responsive to sprint cycles.
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A rigorous approach to research design and analysis is expected, ensuring the integrity and validity of findings.
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Continuous improvement and innovation are key, especially with the integration of AI in UX research, suggesting an openness to new tools and techniques.
Company Website: https://www.stonex.com/
π Enhancement Note: Understanding StoneX Group's position in the financial industry is crucial. The company's scale and history suggest a need for robust, scalable solutions and a culture that balances tradition with innovation. The emphasis on AI UX Research indicates a forward-looking approach to technology adoption within this established sector.
π Career & Growth Analysis
Operations Career Level: This role is positioned as a Mid-Level UX Researcher. It requires independent execution of research projects, contribution to research strategy, and the ability to mentor junior team members or interns. The researcher is expected to manage their own research roadmap and collaborate effectively with cross-functional stakeholders, influencing product decisions.
Reporting Structure: The UX Researcher will likely report to a UX Research Manager, Lead UX Researcher, or the Head of Product Design. They will work closely with Product Managers, UX Designers, and Software Engineers on various product teams.
Operations Impact: The UX Researcher's impact is direct and significant, shaping the user experience of StoneX Group's diverse financial products and platforms. By ensuring products are intuitive, efficient, and meet user needs, the researcher contributes to customer satisfaction, adoption rates, retention, and ultimately, the company's revenue and market position. Insights generated are critical for prioritizing product roadmaps and identifying new market opportunities.
Growth Opportunities:
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Specialization: Deepen expertise in AI UX Research, quantitative methods, or specific financial product domains.
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Leadership: Transition into a Senior UX Researcher role, leading larger research initiatives, mentoring junior researchers, and contributing more heavily to research strategy.
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Management: Move into a UX Research Lead or Manager position, overseeing a team of researchers and setting the vision for UX research within the organization.
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Cross-functional Roles: Leverage research insights and communication skills for roles in Product Management, User Experience Design Strategy, or Market Analysis.
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Continuous Learning: Access to industry conferences, advanced training programs, and internal knowledge-sharing sessions to stay at the forefront of UX research methodologies and AI applications.
π Enhancement Note: The career path for a UX Researcher at a large financial firm is typically structured, offering clear progression. The emphasis on AI and finance industry experience suggests opportunities for specialized growth within these domains, aligning with industry trends and company strategic focus.
π Work Environment
Office Type: This is an on-site role, indicating a traditional office-based work environment. The office in Krakow will likely be modern and equipped to support collaboration among global teams.
Office Location(s): The office is located at Mogilska 35, 31-545 KrakΓ³w, Poland. This location is accessible within the city, likely with good public transport links.
Workspace Context:
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The workspace will likely be designed to foster collaboration, with meeting rooms, breakout areas, and shared workstations.
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Access to necessary research tools, software licenses (e.g., for Figma, Axure, Dovetail, user research platforms), and hardware will be provided.
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Opportunities for spontaneous interaction with UX/UI designers, product managers, and engineers will be abundant, facilitating a dynamic and integrated product development process.
Work Schedule:
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The standard work schedule is expected to align with typical European business hours, likely Monday to Friday.
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However, given the global nature of StoneX Group's operations and teams, some flexibility in working hours may be required to attend meetings or conduct research with participants in different time zones.
π Enhancement Note: The on-site requirement in Krakow suggests a preference for in-person collaboration and team cohesion. The modern office environment in a major city should offer good amenities and accessibility. Flexibility in working hours is a common expectation for roles supporting global operations.
π Application & Portfolio Review Process
Interview Process:
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Initial Screening: A brief call with an HR representative or recruiter to assess basic qualifications, interest, and cultural fit.
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Hiring Manager Interview: A more in-depth discussion with the hiring manager (likely a UX Research Lead or Manager) to explore your experience, research philosophy, and approach to specific challenges. Be prepared to discuss your portfolio highlights.
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Portfolio Presentation & Technical Interview: This is a critical stage. You will be asked to present 1-2 of your strongest UX research projects from your portfolio. Expect questions on your methodology, insights, recommendations, and the impact of your work. This may also include technical questions about specific research methods or tools, and potentially a short practical exercise.
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Cross-functional Team Interviews: Interviews with key collaborators such as Product Managers, UX Designers, and Engineers to assess your ability to work effectively within a cross-functional team, communicate research effectively, and integrate findings into the product development process.
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Final Interview/Debrief: A final discussion, potentially with a senior leader, to confirm suitability and address any remaining questions.
Portfolio Review Tips:
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Select strategically: Choose projects that best showcase your end-to-end research process, problem-solving skills, and impact. Include a project that highlights your experience with AI in UX Research if possible.
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Tell a story: For each project, clearly articulate the problem, your approach, the challenges faced, your key findings, the recommendations you made, and the resulting impact (quantifiable if possible).
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Focus on your role: Be clear about your specific contributions, especially if you worked on a team.
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Visualize your process: Use visuals (screenshots, diagrams, artifacts) to illustrate your methodology and findings.
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Prepare for questions: Anticipate questions about your choices of methodology, how you handled unexpected findings, how you communicated complex information, and how your research influenced decisions.
Challenge Preparation:
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Research Case Study: You might be given a hypothetical product or scenario and asked to outline a research plan to address a specific problem. Focus on defining clear research questions, selecting appropriate methods, and outlining how you would analyze and present findings.
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Methodology Deep Dive: Be ready to discuss the pros and cons of various research methods and when to apply them.
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AI in UX Research: Prepare to discuss how you have used or would use AI tools to enhance UX research, from data analysis to participant recruitment.
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Stakeholder Management: Think about how you would communicate research findings to different stakeholders (e.g., technical vs. non-technical audiences) and handle conflicting opinions or pushback.
π Enhancement Note: The interview process is designed to thoroughly assess a UX Researcher's technical skills, strategic thinking, communication abilities, and collaborative potential. A strong portfolio that demonstrates impact and a clear understanding of how to apply AI in research will be key differentiators.
π Tools & Technology Stack
Primary Tools:
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User Research Platforms: Tools like UserTesting.com, Lookback, Maze, or similar platforms for conducting moderated and unmoderated usability testing, remote research, and gathering feedback.
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Qualitative Data Analysis: Software such as Dovetail, NVivo, or ATLAS.ti for coding, theming, and synthesizing qualitative data from interviews and usability sessions.
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Survey Tools: Proficiency with platforms like Qualtrics, SurveyMonkey, Google Forms, or Typeform for designing and deploying user surveys.
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AI UX Research Tools: Experience with or a strong understanding of how AI can be applied to UX research, such as AI-powered analysis tools, sentiment analysis, or generative AI for research synthesis or ideation.
Analytics & Reporting:
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Web Analytics: Familiarity with tools like Google Analytics, Adobe Analytics, or similar to understand user behavior on digital platforms.
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BI/Dashboarding Tools: Exposure to tools like Tableau, Power BI, or Looker for visualizing research data and creating reports that track user experience metrics.
CRM & Automation:
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CRM Systems: While not a primary CRM role, understanding how CRM data (e.g., Salesforce) can inform user segmentation and research targeting is beneficial.
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Collaboration & Project Management: Tools like Jira, Confluence, Asana, or Trello for managing research projects, documenting findings, and collaborating with product teams.
Design & Prototyping Tools (Familiarity Highly Valued):
- Prototyping Tools: Experience or strong familiarity with tools like Figma, Axure, Sketch, or Adobe XD is highly advantageous for understanding design outputs and collaborating with designers.
π Enhancement Note: The tech stack emphasizes specialized UX research tools, data analysis software, and AI applications. Familiarity with design tools like Figma is a significant plus for effective cross-functional collaboration.
π₯ Team Culture & Values
Operations Values:
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User-Centricity: A fundamental belief that understanding and prioritizing user needs is critical for product success. This translates to a commitment to rigorous research and advocating for the user's voice.
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Data-Driven Decision Making: A strong emphasis on using both qualitative and quantitative data to inform product strategy and design choices, moving beyond assumptions to evidence-based conclusions.
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Collaboration & Transparency: Fostering an environment where teams work together openly, sharing insights, feedback, and challenges to achieve common goals. Researchers are expected to be collaborative partners.
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Innovation & Continuous Improvement: An eagerness to explore new research methodologies, tools (especially AI), and approaches to better understand users and enhance product experiences. A willingness to learn and adapt is valued.
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Integrity & Professionalism: Upholding high ethical standards in research practices and maintaining a professional demeanor when interacting with colleagues, stakeholders, and research participants.
Collaboration Style:
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Partnership: Researchers are seen as integral partners to Product Management and UX Design, working hand-in-hand to define product strategy and solutions.
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Insight Sharing: A culture of actively sharing research findings through presentations, workshops, and documentation to ensure insights are disseminated and acted upon across teams.
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Feedback Loop: An open environment for giving and receiving constructive feedback on research plans, methodologies, and findings to continuously improve the research process and outcomes.
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Cross-Functional Empathy: Encouraging team members to understand the perspectives and challenges of different disciplines (e.g., engineering constraints, business goals) to foster more holistic product development.
π Enhancement Note: The company culture likely reflects a blend of established financial services professionalism and modern tech-driven innovation. The emphasis on user-centricity, data, and collaboration is key for any UX role. The specific mention of AI suggests a culture that embraces technological advancement.
β‘ Challenges & Growth Opportunities
Challenges:
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Balancing Rigor with Agility: Conducting thorough research while meeting tight agile development deadlines requires efficient planning, prioritization, and creative methodological approaches.
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Influencing Stakeholders: Effectively communicating complex research findings and advocating for user needs to diverse stakeholders, some of whom may have different priorities or a less user-focused perspective.
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Global User Diversity: Understanding and researching the needs of a diverse global user base, considering cultural nuances, language barriers, and varying technological access.
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Integrating AI Effectively: Navigating the rapidly evolving landscape of AI in UX research, identifying the most valuable applications, and ensuring ethical and effective integration into existing workflows.
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Measuring Research Impact: Quantifying the impact of UX research on product success and business outcomes can be challenging, requiring strong analytical skills and collaboration with product teams to track relevant metrics.
Learning & Development Opportunities:
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AI UX Research Specialization: Opportunities to attend advanced training, workshops, and conferences focused on AI applications in user research, as well as hands-on experience with new AI tools.
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Financial Domain Expertise: Gaining in-depth knowledge of financial markets, trading platforms, and user needs within the finance industry, which is a valuable specialization.
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Advanced Methodologies: Training in specialized research techniques such as ethnography, advanced statistical analysis for quantitative data, or generative research methods.
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Leadership Development: Mentorship programs and opportunities to lead research initiatives, mentor junior team members, and potentially move into management roles.
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Cross-Disciplinary Learning: Engaging with product managers, designers, and engineers to broaden understanding of the full product lifecycle and different functional areas.
π Enhancement Note: The challenges are typical for a UX Researcher in a large, global, and technologically evolving organization. The growth opportunities are directly aligned with the role's requirements and industry trends, particularly AI and finance.
π‘ Interview Preparation
Strategy Questions:
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"Describe a time you had to conduct research with very tight deadlines. How did you prioritize your efforts and what trade-offs did you make?" (Focus on agile research, prioritization, and communication of limitations).
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"How do you approach integrating AI tools into your UX research process? Can you provide an example of how AI could enhance a specific research methodology?" (Prepare to discuss specific AI tools or concepts relevant to research and demonstrate practical application).
Company & Culture Questions:
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"What interests you about StoneX Group and the financial services industry? How do you see your UX research skills contributing to our products?" (Research StoneX Group's mission, recent news, and products. Connect your skills to their business objectives).
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"How do you advocate for user needs when they conflict with business priorities or technical constraints?" (Demonstrate your ability to build consensus, present data-driven arguments, and find collaborative solutions).
Portfolio Presentation Strategy:
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Structure: For each project, follow a clear narrative: Problem/Opportunity -> Your Role & Objectives -> Methodology -> Process & Execution -> Key Findings -> Recommendations -> Impact/Outcome.
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Quantify Impact: Whenever possible, use metrics to demonstrate the success of your recommendations (e.g., "User satisfaction increased by X%", "Task completion time reduced by Y%", "Conversion rate improved by Z%").
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Showcase AI Integration: If you have an AI UX Research project, highlight it. If not, discuss how AI could have been applied or how you envision using it in the future.
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Tailor to StoneX: Briefly explain how the skills and insights demonstrated in your portfolio are relevant to StoneX Group's business and user base.
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Be Prepared for Deep Dives: Anticipate questions about specific methodological choices, ethical considerations, or how you handled unexpected results.
π Enhancement Note: Preparation should focus on demonstrating not just research execution, but strategic thinking, problem-solving, cross-functional collaboration, and a strong understanding of how research drives business value, especially within the financial sector and with emerging AI technologies.
π Application Steps
To apply for this UX Researcher position:
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Submit your application through the provided link on the StoneX Group careers portal.
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Customize your Resume: Tailor your resume to highlight keywords from the job description, such as "UX Researcher," "User Research," "Usability Testing," "AI UX Research," "Figma," "Agile," and "Financial Industry." Quantify your achievements with metrics whenever possible.
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Curate Your Portfolio: Select 2-3 of your most impactful UX research projects that best showcase your end-to-end process, problem-solving skills, and demonstrable impact. Ensure each project clearly outlines the problem, your methodology, findings, recommendations, and outcomes. Prepare to present these projects confidently.
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Prepare for Interview Questions: Review common UX research interview questions, focusing on behavioral scenarios, methodological approaches, and strategic thinking. Practice articulating your thought process and research impact clearly and concisely. Be ready to discuss your experience with AI in UX research.
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Research StoneX Group: Familiarize yourself with StoneX Group's business, its products, its mission, and any recent news. Understand the financial services landscape and consider how UX research contributes to success in this sector. This will help you tailor your answers and demonstrate genuine interest.
β οΈ 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.
Application Requirements
Candidates must have 5+ years of experience in UX research and a degree in Human-Computer Interaction, Psychology, or a related field. Proficiency in research methodologies, AI tools, and design software like Figma or Axure is required.