Head of AI/Data Science, Finance & Strategy, Robinhood
$202-238k
+ Bonus opportunities + Equity
5 days a week in office (Menlo Park, CA)
Commission-free stock trading & investing app
Open for applications
Commission-free stock trading & investing app
1001+ employees
Open for applications
$202-238k
+ Bonus opportunities + Equity
5 days a week in office (Menlo Park, CA)
1001+ employees
Company mission
To democratize finance for all.
Role
Who you are
- 7+ years of experience in data science, analytics, or related fields, including 2+ years of people management experience
- Daily, hands-on fluency with Claude Code and modern AI coding tools, with a track record of building reusable agent infrastructure (skills, context files, tool integrations, evaluation harnesses) rather than one-off prompts
- Strong technical expertise in SQL, Python, statistical analysis, experimentation, and advanced analytics
- Proven ability to translate complex business questions into rigorous analyses, actionable insights, and scalable data solutions
- Experience developing measurement frameworks, predictive models, benchmarking, and other analytical approaches that inform business and strategic decisions
- Strong business judgment with a track record of partnering with Finance, Product, Engineering, Operations, and senior leadership
- Excellent communication skills, with the ability to simplify complex analyses, influence decisions, and build alignment across teams
- Experience building and developing high-performing teams of data scientists and analytics engineers
What the job involves
- The Finance & Strategy Data Science team is a specialized Data Science group within Robinhood’s Finance & Strategy organization. Our mission is to use data, advanced analytics, machine learning, and AI to generate actionable insights, improve decision-making, and help Robinhood better understand and optimize business performance. We partner closely with teams across Robinhood including Finance, Product, Data, Engineering, Marketing, Research, and Operations
- Our work spans customer and business analytics, benchmarking, forecasting, measurement frameworks, and AI-powered analytics, helping leaders make faster, more informed decisions and identify opportunities to improve performance across the company
- As the Head of AI and Data Science for Finance & Strategy, you will lead and develop a high-performing team of data scientists and analytics engineers, setting the team’s technical direction and priorities while partnering with leaders across Robinhood to turn complex business questions into actionable insights. You will oversee strategic analytics, measurement and benchmarking frameworks, deep-dive analyses, and scalable data science and AI solutions
- You will play a key role in expanding how Finance & Strategy uses data and AI to enable faster, more predictive, and more effective decision-making.This role combines strong people leadership, technical depth, and business judgment to identify high-impact opportunities and elevate the quality and scalability of analytics across Robinhood
- Own Robinhood’s NPS program end to end: survey design, sampling and weighting methodology, fielding cadence, data quality, key driver analysis, and executive reporting
- Own the broader survey and research portfolio, including safety perception research, brand and product sentiment studies, benchmarking and trend tracking, and ad hoc voice-of-customer work
- Analyze open-text and responses at scale, including with LLM-assisted classification, while keeping methodology defensible
- Partner with Product, Research, Operations, Marketing, and Brokerage leadership to close the loop from survey signal to product and policy change
- Make agentic workflows the default operating model for the team. Design how analysis, pipeline development, QA, documentation, and recurring reporting get delegated to agents, and hold the team accountable to that standard
- Build durable agent infrastructure rather than one-off prompts: reusable skills, context files, MCP tool integrations, evaluation harnesses, and guardrails that make agent output trustworthy enough for finance-grade and research-grade decisions
- Lead both sides of the analytics stack: rigorous data science (measurement, experimentation, modeling) and the analytics engineering foundation (pipelines, tooling, data models) that agents and humans build on
- Lead, mentor, and develop a team of data scientists and engineers; operate as a player-coach who stays hands-on in the terminal and in the code and ships real work alongside the team
- Foster a culture of technical excellence, strong business judgment, methodological rigor, and clear accountability
- Partner closely with Finance, Product, Engineering, Operations, and other key departments to translate complex business questions into scalable, trustworthy analytics
- Represent Finance & Strategy Data Science in leadership forums and help shape how Robinhood leverages data and AI for strategic decision-making
- Our ambitious roadmap requires a great culture shaped by exceptional leaders. Here’s what we expect from them:
- Drive high performance by setting clear, focused goals, giving real-time feedback, stretching top talent, and scaling impact through focus, innovation, and tech
- Hire and retain top talent by setting a high bar, hiring only those who raise it, investing in onboarding, and addressing talent issues quickly and fairly
- Create community by connecting work to purpose, removing friction while prioritizing safety, building trust and inclusion, and leading from the front with integrity
Our take
For years, traditional brokers ruled the share trading realm, charging hefty fees that locked out everyday investors. Robinhood emerged as a disruptor, offering commission-free trading and opening the door to a new generation. Since then, expectations have continued to evolve, with investors looking not just to lower costs, but for simpler tools, clearer information, and guidance that makes the market easier to understand.
Robinhood was built to meet those changing expectations, designed from the start as a mobile-first platform that makes investor more accessible and less intimidating for people at every stage of their financial journey. Through its app, users can trade stocks and other financial instruments while benefiting from a clean interface and built-in educational support, helping them move from curiosity to confidence without unnecessary complexity.
Recently, Robinhood has strenghtned its impact too, particularly in the UK. With the launch of AI-powered Digests within its Robinhood Cortex assistant that helps users understand what's driving stock movements in plain English, while upcoming options trading and expanded educational resources add flexibility and depth. Together, these steps position Robinhood as a platform evolving alongside its users, blending technology and education to stay ahead in an ever-changing investment landscape.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 13 rounds)
Feb 2021
$2.4bn
CONVERTIBLE
Jan 2021
$1bn
LATE VC
Total funding: $5.6bn
Company HQ
Downtown Menlo Park, Menlo Park, CA
Leadership
Vlad Tenev
(Co-Founder, CEO & Chairman)Studied Mathematics at Stanford University, where they met Baiju. Dropped out of a PhD to start Robinhood. Alongside Robinhood, Vlad is also the co-founder and Executive Chairman of Harmonic.
Baiju B.
(Co-Founder)Studied Mathematics and Physics at Stanford University, where they met their Vlad and co-founded Robinhood in 2012. Baiju is also the Founder and CEO of Aetherflux.
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