Staff User Researcher, Brokerage

Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading.

We are building an elite team, applying frontier technologies and deep customer understanding to some of the world’s biggest financial problems. We are looking for bold thinkers, problem solvers, and builders who are motivated to make an impact. Robinhood is a high performing, fast moving environment with ethics at the center of everything we do. Expectations are high, and so are the rewards.

Research has been central to our product development and business strategy since the very beginning. As our user base and products continue to grow, the Brokerage Research team helps Robinhood systematically understand how people invest, trade, manage their accounts, and think and feel about money.

As a Staff User Researcher, you will lead research across multiple Brokerage product areas. You will partner with product and business leaders to identify the questions that matter most, bring clarity to ambiguous problems, and ensure customer evidence informs both near term decisions and longer term strategy. You should be comfortable and willing to incorporate AI into your research practice, while applying sound judgment to maintain research quality, customer trust, and appropriate governance.

At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community. Our office experience is intentional, energizing, and designed to fully support high-performing teams.

• →Proactively and independently identifying high impact questions from a product or business perspective
• →Answering those questions with a strong command of qualitative and quantitative methods, using the right methods at the right time and triangulating data
• →Planning and leading research end to end, including strategic, foundational, iterative, and evaluative research
• →Representing the voice of the customer throughout the product development process, working closely with PMs, designers, engineers, Data Science, and leadership
• →Translating research into clear recommendations that influence product strategy, prioritization, and execution
• →Communicating insights through compelling and memorable storytelling for research and non research audiences
• →Connecting findings across Brokerage to build a broader, data driven understanding of current and potential customers
• →Using AI enabled tools to increase the speed, reach, and impact of research
• →Mentoring others and contributing to the development of research standards, methods, and practices

• 8+ years of qualitative, quantitative, product, or applied research experience, either in industry or through a combination of industry and academic research
• Background in Human Computer Interaction, Psychology, Behavioral Economics, Anthropology, Sociology, or a related field
• Strong command of qualitative and quantitative methods, with the judgment to select the right approach for the question
• A record of applying research to create meaningful product and business impact
• Ability to independently bring structure to complex and ambiguous problems
• Experience influencing senior stakeholders and cross functional teams
• Strong storytelling, organization, synthesis, and communication skills
• Comfort and willingness to use AI enabled tools and adapt as research workflows evolve
• Passion for investing and making finance accessible to all
• Strong work ethic and deep care for the research craft
• Bonus points
  • Master’s degree or PhD in Human Computer Interaction, Psychology, Behavioral Economics, Anthropology, Sociology, or a related field
  • Subject matter expertise in advanced investing or trading, such as options, futures, margin, active trading, or sophisticated order types
  • Experience with investing, brokerage products, fintech, or financial institutions
  • Experience combining primary research with behavioral, transactional, or market data
  • Experience developing AI enabled research workflows, tools, or automation
  • Experience with internal mentorship and vendor management
  • Experience partnering with Legal, Compliance, Risk, or other control functions
  • Passion for working and learning in a fast growing company