Role Description We are looking for a results-driven Mid-Senior UX Researcher who will play a crucial role in shaping our product and enhancing the user experience by conducting research, analyzing user behavior, and designing intuitive wireframes for both desktop and mobile. Key Responsibilities - Conduct competitor and market research to understand user behaviors, flows, pain points, and needs. - Analyze existing user interfaces and the design of our current solutions. - Utilize tools like Visily or Figma to create wireframes, prototypes, and mockups. - Develop user personas, customer journey maps, and usability studies to support data-informed decisions. - Collaborate closely with product managers, developers, and designers to ensure seamless user experiences. - Test and validate design concepts through A/B testing, surveys, interviews, and analytics. - Document research findings and present insights to stakeholders. - Stay up to date with industry trends and UX best practices to continually refine our approach. Qualifications - 2+ years of experience in UX research and UI/UX design. - Proficiency in Visily (preferred), Figma, and similar design tools. - Strong knowledge of user-centered design (UCD), usability principles, and accessibility standards. - Experience with AI-driven UX research tools and methodologies. - Experience conducting user interviews, surveys, usability testing, and data analysis. - Ability to translate research insights into actionable recommendations. - Basic understanding of front-end development (HTML, CSS, JavaScript) is a plus. - Familiarity with A/B testing, heatmaps, and analytics tools (e.g., Google Analytics, Hotjar). - Strong analytical mindset and the ability to make data-driven UX decisions. - Excellent communication and collaboration skills. - Portfolio or case studies showcasing past research and wireframe designs. Requirements - Experience working in fast-paced startup environments. Benefits - Remote Work Environment: Embrace the freedom to work from anywhere, anytime, promoting a healthy work-life balance. - Unlimited PTO: Enjoy unlimited paid time off to recharge and prioritize your well-being, without counting days. - Paid National Holidays: Celebrate and relax on national holidays with paid time off to unwind and recharge. - Company-provided MacBook: Experience seamless productivity with top-notch Apple MacBooks provided to all employees who need them. - Flexible Independent Contractor Agreement: Unlock the benefits of flexibility, autonomy, and entrepreneurial opportunities. Benefit from tax advantages, networking opportunities, reduced employment obligations, and the freedom to work from anywhere.

Role Description As a Principal Researcher for Financial Services in Unit 42, you will leverage expert knowledge of industry-specific threats to provide meaningful intelligence. You will identify emerging trends, establish thought leadership through industry engagement, and become a go-to expert for internal and external stakeholders. This role requires you to be a self-starter who can collaborate effectively with researchers, partners, and the broader cybersecurity community. You will communicate your findings through presentations, articles, and social posts to advance the security of the financial services sector. Key Responsibilities - Demonstrate expertise in collecting and analyzing threat intelligence data across all categories of cyberthreats relevant to the financial services industry. - Document and communicate emerging threats, trends and their potential impact to the financial services industry in a timely manner. - Translate your threat intelligence collection into multiple formats that can be shared effectively with internal and external partners. - Map new threat intelligence findings into threat intelligence repositories. - Investigate and communicate an adversary’s actions through use of common frameworks such as MITRE ATT&CK and the Diamond Model. - Conduct deep analysis using Palo Alto Networks internal telemetry and open-source datasets. - Conduct quick-turnaround threat analysis for high-visibility threat research and urgent requests. - Serve as an internal SME for threats related to the financial services industry. - Demonstrate thought leadership across Unit 42 and within the financial services industry. - Foster strong collaboration with key stakeholders across different functional teams and among partner organizations. - Grow and maintain industry connections. Qualifications - 7+ years of experience in threat intelligence focused on a variety of threats including ransomware, nation-state, cybercrime, supply-chain/3rd party risks, cloud, mobile, dark web, offensive security, and insider threats. - Advanced understanding of the adversary’s attack lifecycle, TTPs and high-fidelity indicators of compromise. - Experience with tools for data analysis, such as passive DNS, network infrastructure and host-based information. - Proven communicator and collaborator with success in building trusted relationships with internal and external stakeholders. - Strong verbal and written communication skills. - Ability to lead tasks and projects independently and drive process improvement. - Proven record as a problem solver in complex and often ambiguous situations. - Drive to overcome the most challenging obstacles and look for ways to improve results. - Ability to understand and assimilate different points of view, manage time and prioritize work based on project needs and deadlines. Preferred Qualifications - Understanding of specific cybersecurity needs and concerns of the financial services industry. - Established relationships within the financial services industry. - Experience as a public speaker at industry conferences. - History of publishing impactful cybersecurity research and/or trend publications, especially focused on the financial services industry. - Experience with using social media to connect with cybersecurity and industry peers. - Comfortable working effectively within a remote team. - Ability to interpret and action internal and external reports including technical malware analysis. - Knowledge of scripting languages to facilitate data collection and analysis. Compensation Disclosure The compensation offered for this position will depend on qualifications, experience, and work location. For candidates who receive an offer at the posted level, the starting base salary (for non-sales roles) or base salary + commission target (for sales/commissioned roles) is expected to be the annual range listed below. The offered compensation may also include restricted stock units and a bonus. $162,700.00 - $263,175.00/yr Our Commitment We’re trailblazers that dream big, take risks, and challenge cybersecurity’s status quo. It’s simple: we can’t accomplish our mission without diverse teams innovating, together. We are committed to providing reasonable accommodations for all qualified individuals with a disability. If you require assistance or accommodation due to a disability or special need, please contact us at accommodations@paloaltonetworks.com. Palo Alto Networks is an equal opportunity employer. We celebrate diversity in our workplace, and all qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or other legally protected characteristics. All your information will be kept confidential according to EEO guidelines. Is role eligible for Immigration Sponsorship? No. Please note that we will not sponsor applicants for work visas for this position.

• Support the planning and execution of qualitative research studies, including in-depth interviews and usability testing • Conduct and assist with user interviews, contextual inquiry, and usability evaluations to understand user workflows and pain points • Help manage research operations, including participant recruitment, scheduling, note-taking, and study logistics • Analyze qualitative data and synthesize findings into themes, reports, and presentations • Create clear, structured deliverables such as research summaries, insights decks, and documentation • Maintain organized research repositories and documentation for team access and reuse • Collaborate across multiple research projects, ensuring timely and high-quality execution • Identify patterns in user feedback and help translate insights into product and design recommendations • Ensure research activities align with privacy, consent, and compliance standards

Role Description We’re building a new quantitative research team focused on pricing, market-making, and risk models for prediction markets. This is a highly hands-on role for someone who can operate end-to-end: - Data engineering - Research - Modeling - Close collaboration with traders across sports and non-sports event markets - A range of contract types, including single-outcome markets, player props, and parlays Responsibilities: - Build data foundation, transform raw data into pricing inputs - Research and develop quantitative pricing, market-making, and risk models across sports, non-sports, player props, parlays, and correlated markets - Model cross-market dependencies, correlations, and portfolio effects, especially for combinatorial products such as parlays - Partner closely with traders to improve pricing logic, market coverage, and trading performance - Build frameworks for backtesting, simulation, and model validation - Create tools to monitor model performance, calibration, P&L attribution, and live trading outcomes - Help define the tooling, workflow, and research standards for a new team Qualifications - Strong quantitative background in statistics, math, ML, economics, or a related field - Experience building models in trading, sports, betting, prediction markets, or similar domains - Strong Python/data skills and comfort owning data pipelines as well as modeling - Ability to move quickly from raw data to research insight to production-ready mode - High ownership, strong communication skills and comfortable with fast-paced high growth environment Requirements - $100,000 - $150,000 a year Company Description We may use artificial intelligence tools to analyze the content of your Resume/CV against the specific requirements for the position. The purpose is to support our recruitment team in reviewing applications more effectively. These tools assist our recruitment team in their evaluation of your application by providing recommendations, but they do not replace human judgment. Final hiring decisions are ultimately made by humans who consider the insights generated by the tools along with other relevant information. If you would like more details about how your personal information is processed, please contact us.