Staff User Researcher, Brokerage

Robinhood Robinhood · Fintech · Chicago, IL +2 · Brokerage Product

Staff User Researcher for Robinhood's Brokerage product team, focusing on understanding user investment behavior and informing product strategy. The role involves leading research, translating insights into recommendations, and incorporating AI tools into research practices.

What you'd actually do

  1. Proactively and independently identifying high impact questions from a product or business perspective
  2. Answering those questions with a strong command of qualitative and quantitative methods, using the right methods at the right time and triangulating data
  3. Planning and leading research end to end, including strategic, foundational, iterative, and evaluative research
  4. Representing the voice of the customer throughout the product development process, working closely with PMs, designers, engineers, Data Science, and leadership
  5. Translating research into clear recommendations that influence product strategy, prioritization, and execution

Skills

Required

  • 8+ years of qualitative, quantitative, product, or applied research experience
  • 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

Nice to have

  • 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

What the JD emphasized

  • incorporate AI into your research practice
  • AI enabled tools to increase the speed, reach, and impact of research
  • Comfort and willingness to use AI enabled tools and adapt as research workflows evolve
  • Experience developing AI enabled research workflows, tools, or automation