Robinhood

<div><h2>Join us in building the future of finance.</h2>
<p>Our mission is to democratize finance for all. <a href="https://www.cerulli.com/press-releases/cerulli-anticipates-124-trillion-in-wealth-will-transfer-through-2048" target="_blank" rel="noopener noreferrer ugc">An estimated $124 trillion of assets</a> 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.</p></div><h2><strong>About the team + role</strong></h2>
<p>We are building an elite team, applying frontier technologies to the world’s biggest financial problems. We’re looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn’t a place for complacency, it’s where ambitious people do the best work of their careers. We’re a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards. </p>
<p>The Growth team's mission is to help Robinhood grow smarter, not just faster, by pairing data-driven insights with sharp execution. We help ensure every growth investment is measurable, efficient, and delivers lasting value. We work closely with partners in Product, Paid Media, and Lifecycle Marketing to improve how we acquire users, keep them engaged, and grow their value over time.</p>
<p>As a <strong>Senior Data Scientist, Product</strong>, you will help answer big, foundational questions to shape our premium subscription product, Robinhood Gold! In this high-impact role, you will help identify the right customers for Gold and determine which offers and incentives drive signups and retention. You will collaborate closely with partners across Product, Marketing, and Finance to prioritize key initiatives and measure business impact clearly. This position offers tremendous opportunity to influence product strategy and shape our long-term growth trajectory.</p>
<p><strong>This role is based in our Menlo Park, CA office, with in-person attendance expected at least 3 days per week.</strong></p>
<p>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. </p>
<h2><strong>What you’ll do</strong></h2>
<ul>
<li>Support the Growth org, focusing on Gold subscriptions.</li>
<li>Design and analyze experiments to test new features, offers, and campaign strategies.</li>
<li>Analyze customer behavior and identify new opportunities to grow Gold through improved targeting, retention, and messaging.</li>
<li>Collaborate with partners in Product, Marketing, and Finance to prioritize key initiatives and measure business impact clearly.</li>
</ul>
<h2><strong>What you bring</strong></h2>
<ul>
<li>You have 5+ years of experience in data science, analytics, or a related field.</li>
<li>You have experience as a Product Data Scientist or in a similar role, partnering closely with product teams to directly shape product strategy and roadmap decisions.</li>
<li>You have strong proficiency in SQL and Python for data analysis and modeling.</li>
<li>You have experience designing experiments and interpreting results to guide product decisions.</li>
<li>Experience with data visualization tools and techniques.</li>
<li>Ability to successfully implement projects and compete in a fast-paced environment.</li>
<li>Bonus points if you have experience with subscription, recurring-revenue, or membership business models.</li>
</ul>
<h2><strong>What we offer</strong></h2>
<ul>
<li>Challenging, high-impact work to grow your career.</li>
<li>Performance-driven compensation with multipliers for outsized impact, bonus programs, equity ownership, and 401(k) matching.</li>
<li>Best-in-class benefits to fuel your work, including 100% paid health insurance for employees with 90% coverage for dependents.</li>
<li>Lifestyle wallet — a highly flexible benefits spending account for wellness, learning, and more.</li>
<li>Employer-paid life &amp; disability insurance, fertility benefits, and mental health benefits.</li>
<li>Time off to recharge including company holidays, paid time off, sick time, parental leave, and more!</li>
<li>Exceptional office experience with catered meals, events, and comfortable workspaces.</li>
</ul><div><div><div><p><strong>In addition to the base pay range listed below, this role is also eligible for bonus opportunities + equity + benefits.</strong></p>
<p>Base pay for the successful applicant will depend on a variety of job-related factors, which may include education, training, experience, location, business needs, or market demands. The expected base pay range for this role is based on the location where the work will be performed and is aligned to one of 3 compensation zones. For other locations not listed, compensation can be discussed with your recruiter during the interview process.</p>
<p><span>Base Pay Range:</span></p></div><div>Zone 1 (Menlo Park, CA; New York, NY; Bellevue, WA; Washington, DC)</div><div><span>$179,000</span><span>—</span><span>$210,000 USD</span></div></div><div><div>Zone 2 (Denver, CO; Westlake, TX; Chicago, IL)</div><div><span>$157,000</span><span>—</span><span>$185,000 USD</span></div></div><div><div>Zone 3 (Lake Mary, FL; Clearwater, FL; Gainesville, FL)</div><div><span>$139,000</span><span>—</span><span>$164,000 USD</span></div></div></div><div><p>Click <a href="https://careers.robinhood.com/benefits" target="_blank" rel="noopener noreferrer ugc">here</a> to learn more about our Total Rewards, which vary by region and entity.</p>
<p>If our mission energizes you and you’re ready to build the future of finance, we look forward to seeing your application.</p>
<p><strong>AI Usage Disclosure:</strong> Robinhood uses artificial intelligence (AI) tools to support parts of our recruiting process. These tools enhance the efficiency and consistency of our hiring process; however, all hiring decisions are made by our hiring teams.</p>
<p>Robinhood provides equal opportunity for all applicants, offers reasonable accommodations upon request, and complies with applicable equal employment and privacy laws. Inclusion is built into how we hire and work—welcoming different backgrounds, perspectives, and experiences so everyone can do their best. Please review the <a href="https://careers.robinhood.com/applicantprivacypolicy" target="_blank" rel="noopener noreferrer ugc">Privacy Policy</a> for your country of application.</p></div>

Senior Data Scientist, Product

<div><h2>Join us in building the future of finance.</h2>
<p>Our mission is to democratize finance for all. <a href="https://www.cerulli.com/press-releases/cerulli-anticipates-124-trillion-in-wealth-will-transfer-through-2048" target="_blank" rel="noopener noreferrer ugc">An estimated $124 trillion of assets</a> 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.</p></div><div>
<h2><span>About the team + role</span></h2>
<p><span>We are building an elite team, applying frontier technologies to the world's biggest financial problems. We're looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn't a place for complacency, it's where ambitious people do the best work of their careers. We're a high-performing, fast-moving team with ethics at the center of everything we do. </span><span>Expectations are high, and so are the rewards. </span></p>
<p><span>The Credit Card business team's mission is to shape Robinhood’s vision in the credit and banking space by delivering smart, customer-focused financial solutions. Our team is dedicated to reshaping the credit landscape and redefining the way people interact with financial services daily. We leverage cutting-edge analytical tools and diverse datasets to build deep understandings of consumer credit behaviors. We aim to make financial services accessible to everyone, building programs that support Robinhood’s broader goals!</span></p>
<p><span>As a Staff Data Scientist, you will build credit risk models that allow us to better serve our customers and make responsible lending decisions. Credit models are at the heart of all lending decisions. These models will drive decisions ranging from approve/decline, line assignment at origination and future credit limit increases. You will leverage traditional and non-traditional data sources to build highly predictive risk models. You will own the full lifecycle of model development from data prep, model building to model deployment.</span></p>
<p><span>This role is based in our Menlo Park, CA, or Washington, DC office(s), with in-person attendance expected at least 3 days per week. </span></p>
<p><span>At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community. </span><span>Our office experience is intentional, energizing, and designed to fully support high-performing teams. </span></p>
<hr />
<h2><span>What you'll do</span></h2>
<ul>
<li>
<p><span>Build credit risk models for customer acquisitions (credit approval and credit limit assignment) and customer management</span></p>
</li>
<li>
<p><span>Collaborate with credit analysts and product managers to understand the business problem and deliver appropriate models to solve them</span></p>
</li>
<li>
<p><span>Create rich datasets leveraging both traditional and non-traditional data sources. Work on innovative tools to generate powerful features that boost models</span></p>
</li>
<li>
<p><span>Deploy, maintain and monitor models in production</span></p>
</li>
<li>
<p><span>Communicate with senior stakeholders in credit, product and engineering to deliver key results and findings</span></p>
</li>
</ul>
<hr />
<h2><span>What you bring</span></h2>
<ul>
<li>
<p><span>You have 7+ years of experience in data science and credit modeling</span></p>
</li>
<li>
<p><span>You have strong proficiency in SQL and Python for data analysis and modeling</span></p>
</li>
<li>
<p><span>You have experience designing experiments and interpreting results to guide product decisions</span></p>
</li>
<li>
<p><span>You have domain knowledge and expertise in traditional credit data. Experience with non traditional credit data (such as cash flow) is a plus</span></p>
</li>
<li>
<p><span>You communicate clearly with both technical and non-technical partners</span></p>
</li>
</ul>
<hr />
<h2><span>What we offer</span></h2>
<ul>
<li>
<p><span>Challenging, high-impact work to grow your career</span></p>
</li>
<li>
<p><span>Performance driven compensation with multipliers for outsized impact, bonus programs, equity ownership, and 401(k) matching</span></p>
</li>
<li>
<p><span>Top Tier benefits to fuel your work, including 100% paid health insurance for employees with 90% coverage for dependents</span></p>
</li>
<li>
<p><span>Access to the best AI tools on the market and continuous AI skill-building for every employee, technical or not</span></p>
</li>
<li>
<p><span>Lifestyle wallet - a highly flexible benefits spending account for wellness, learning, and more</span></p>
</li>
<li>
<p><span>Employer-paid life &amp; disability insurance, fertility benefits, and mental health benefits</span></p>
</li>
<li>
<p><span>Time off to recharge including company holidays, paid time off, sick time, parental leave, and more!</span></p>
</li>
<li>
<p><span>Exceptional office experience with catered meals, events, and comfortable workspaces. </span></p>
</li>
</ul>
</div><div><div><div><p><strong>In addition to the base pay range listed below, this role is also eligible for bonus opportunities + equity + benefits.</strong></p>
<p>Base pay for the successful applicant will depend on a variety of job-related factors, which may include education, training, experience, location, business needs, or market demands. The expected base pay range for this role is based on the location where the work will be performed and is aligned to one of 3 compensation zones. For other locations not listed, compensation can be discussed with your recruiter during the interview process.</p>
<p><span>Base Pay Range:</span></p></div><div>Zone 1 (Menlo Park, CA; New York, NY; Bellevue, WA; Washington, DC)</div><div><span>$217,000</span><span>—</span><span>$255,000 USD</span></div></div><div><div>Zone 2 (Denver, CO; Westlake, TX; Chicago, IL)</div><div><span>$191,000</span><span>—</span><span>$224,000 USD</span></div></div><div><div>Zone 3 (Lake Mary, FL; Clearwater, FL; Gainesville, FL)</div><div><span>$170,000</span><span>—</span><span>$199,000 USD</span></div></div></div><div><p>Click <a href="https://careers.robinhood.com/benefits" target="_blank" rel="noopener noreferrer ugc">here</a> to learn more about our Total Rewards, which vary by region and entity.</p>
<p>If our mission energizes you and you’re ready to build the future of finance, we look forward to seeing your application.</p>
<p><strong>AI Usage Disclosure:</strong> Robinhood uses artificial intelligence (AI) tools to support parts of our recruiting process. These tools enhance the efficiency and consistency of our hiring process; however, all hiring decisions are made by our hiring teams.</p>
<p>Robinhood provides equal opportunity for all applicants, offers reasonable accommodations upon request, and complies with applicable equal employment and privacy laws. Inclusion is built into how we hire and work—welcoming different backgrounds, perspectives, and experiences so everyone can do their best. Please review the <a href="https://careers.robinhood.com/applicantprivacypolicy" target="_blank" rel="noopener noreferrer ugc">Privacy Policy</a> for your country of application.</p></div>

Staff Data Scientist, ML (Credit Risk)

<div><h2>Join us in building the future of finance.</h2>
<p>Our mission is to democratize finance for all. <a href="https://www.cerulli.com/press-releases/cerulli-anticipates-124-trillion-in-wealth-will-transfer-through-2048" target="_blank" rel="noopener noreferrer ugc">An estimated $124 trillion of assets</a> 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.</p></div><h2><strong>About the team + role</strong></h2>
<p>We are building an elite team, applying frontier technologies to the world’s biggest financial problems. We’re looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn’t a place for complacency, it’s where ambitious people do the best work of their careers. We’re a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards. </p>
<p>The Corporate Engineering team is building and scaling the next generation of enterprise AI infrastructure at Robinhood. Our mission is to make AI capabilities reliable, secure, and accessible across the company, enabling teams to build, deploy, and operate intelligent solutions at scale. From enterprise LLM integrations to agentic workflows and hybrid cloud infrastructure, we're creating the foundation that supports how Robinhood leverages AI internally.</p>
<p>As a Senior AI Operations Engineer, Enterprise Tech, you'll play a key role in building, operating, and improving the infrastructure behind Robinhood's enterprise AI capabilities. You'll work across AI platforms, LLM integrations, automation, and production infrastructure, serving as a technical expert for complex challenges while partnering directly with developers and internal teams. This is an opportunity to help shape a growing function, solve emerging problems in AI operations, and build the systems and tooling that enable AI adoption across Robinhood.</p>
<p><strong>This role is based in our Menlo Park, CA, New York, NY, and Bellevue, WA offices, with in-person attendance expected at least 3 days per week.</strong></p>
<p>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. </p>
<h2><strong>What you’ll do</strong></h2>
<ul>
<li>Build internal tooling, automation, and self-service solutions that streamline AI operations, reduce manual intervention, and improve the developer experience.</li>
<li>Own complex technical troubleshooting and escalations across AI platforms, working directly with developers and internal teams to resolve issues involving LLM integrations, model behavior, APIs, and system performance.</li>
<li>Manage and optimize enterprise integrations with LLM providers, including Anthropic Claude and Google Gemini, focusing on performance, token utilization, reliability, and cost efficiency.</li>
<li>Develop and improve observability, monitoring, and deployment pipelines for AI workloads, tracking metrics such as inference latency, API costs, token usage, and error rates.</li>
<li>Support and optimize agentic workflows, orchestration layers, vector databases, and retrieval-augmented generation (RAG) systems to improve reliability and scalability.</li>
<li>Partner with Product, Software Engineering, Business Systems, and AI Strategy teams to identify recurring issues, incorporate user feedback, and drive long-term improvements to enterprise AI capabilities.</li>
</ul>
<h2><strong>What you bring</strong></h2>
<ul>
<li>5+ years of experience in IT Operations, Site Reliability Engineering, or AI infrastructure and support, with a track record of operating complex production systems.</li>
<li>Hands-on experience with enterprise AI platforms and LLM integrations, particularly Anthropic Claude and Google Gemini, including API integrations, prompt operations, and token management.</li>
<li>Strong Linux administration skills and proficiency in scripting and automation using Python, Bash, or similar languages.</li>
<li>Experience with infrastructure provisioning, configuration management, and orchestration tools such as Terraform, Ansible, Chef, or Kubernetes.</li>
<li>Strong understanding of production infrastructure, system reliability, monitoring, and troubleshooting across cloud or on-premises environments.</li>
<li>Ability to independently investigate ambiguous technical problems, identify root causes, and develop scalable solutions that prevent recurring issues.</li>
<li>Strong communication and collaboration skills, with experience partnering directly with developers and cross-functional teams to resolve technical challenges.</li>
<li>Bonus: Experience with GPU clusters, AI workload orchestration (Slurm, Ray), vector databases (Pinecone, Milvus), AI frameworks (LangChain, LlamaIndex), or hybrid cloud and bare-metal infrastructure.</li>
</ul>
<h2><strong>What we offer</strong></h2>
<ul>
<li>Challenging, high-impact work to grow your career.</li>
<li>Performance driven compensation with multipliers for outsized impact, bonus programs, equity ownership, and 401(k) matching.</li>
<li>Top Tier benefits to fuel your work, including 100% paid health insurance for employees with 90% coverage for dependents.</li>
<li>Access to the Robinhood Employee Fund that gives eligible US employees the opportunity to invest in a private employee fund that provides exposure to Robinhood Ventures funds.</li>
<li>Access to the best AI tools on the market and continuous AI skill-building for every employee, technical or not. </li>
<li>Lifestyle wallet - a highly flexible benefits spending account for wellness, learning, and more.</li>
<li>Employer-paid life &amp; disability insurance, fertility benefits, and mental health benefits.</li>
<li>Time off to recharge including company holidays, paid time off, sick time, parental leave, and more!</li>
<li>Exceptional office experience with catered meals, events, and comfortable workspaces.</li>
</ul><div><div><div><p><strong>In addition to the base pay range listed below, this role is also eligible for bonus opportunities + equity + benefits.</strong></p>
<p>Base pay for the successful applicant will depend on a variety of job-related factors, which may include education, training, experience, location, business needs, or market demands. The expected base pay range for this role is based on the location where the work will be performed and is aligned to one of 3 compensation zones. For other locations not listed, compensation can be discussed with your recruiter during the interview process.</p>
<p><span>Base Pay Range:</span></p></div><div>Zone 1 (Menlo Park, CA; New York, NY; Bellevue, WA; Washington, DC)</div><div><span>$153,000</span><span>—</span><span>$180,000 USD</span></div></div><div><div>Zone 2 (Denver, CO; Westlake, TX; Chicago, IL)</div><div><span>$134,000</span><span>—</span><span>$158,000 USD</span></div></div><div><div>Zone 3 (Lake Mary, FL; Clearwater, FL; Gainesville, FL)</div><div><span>$119,000</span><span>—</span><span>$140,000 USD</span></div></div></div><div><p>Click <a href="https://careers.robinhood.com/benefits" target="_blank" rel="noopener noreferrer ugc">here</a> to learn more about our Total Rewards, which vary by region and entity.</p>
<p>If our mission energizes you and you’re ready to build the future of finance, we look forward to seeing your application.</p>
<p><strong>AI Usage Disclosure:</strong> Robinhood uses artificial intelligence (AI) tools to support parts of our recruiting process. These tools enhance the efficiency and consistency of our hiring process; however, all hiring decisions are made by our hiring teams.</p>
<p>Robinhood provides equal opportunity for all applicants, offers reasonable accommodations upon request, and complies with applicable equal employment and privacy laws. Inclusion is built into how we hire and work—welcoming different backgrounds, perspectives, and experiences so everyone can do their best. Please review the <a href="https://careers.robinhood.com/applicantprivacypolicy" target="_blank" rel="noopener noreferrer ugc">Privacy Policy</a> for your country of application.</p></div>

Senior AI Operations Engineer, Enterprise Tech

<div><h2>Join us in building the future of finance.</h2>
<p>Our mission is to democratize finance for all. <a href="https://www.cerulli.com/press-releases/cerulli-anticipates-124-trillion-in-wealth-will-transfer-through-2048" target="_blank" rel="noopener noreferrer ugc">An estimated $124 trillion of assets</a> 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.</p></div><h2><strong>About the team + role </strong></h2>
<p>We’re thrilled to be expanding this year as Robinhood is hiring world-class engineering talent in Toronto. Our Hoodies in Canada will enable Robinhood to continue creating great financial products on our journey towards democratizing finance for all. </p>
<p>Robinhood is a metrics driven company and data is foundational to all key decisions from growth strategy to product optimization to our day-to-day operations. We are looking for a Senior Data Engineer to build and maintain foundational datasets that will allow us to reliably and efficiently power decision making at Robinhood. These datasets include application events, database snapshots, and the derived datasets that describe and track Robinhood's key metrics across all products. You’ll partner closely with engineers, data scientists and business teams to power analytics, experimentation, and machine learning use cases. We are a fast-paced team in a fast growing company and this is a unique opportunity to help lay the foundation for reliable, impactful, data-driven decisions across the company for years to come.</p>
<p><strong>The role is located in the office location(s) listed on this job description which will align with our in-office working environment. Please connect with your recruiter for more information regarding our in-office philosophy and expectations.</strong></p>
<h2><strong>What you’ll do </strong></h2>
<ul>
<li>Help define and build key datasets across all Robinhood product areas. Lead the evolution of these datasets as use cases grow.</li>
<li>Build scalable data pipelines using Python, Spark and Airflow to move data from different applications into our data lake.</li>
<li>Partner with upstream engineering teams to enhance data generation patterns.</li>
<li>Partner with data consumers across Robinhood to understand consumption patterns and design intuitive data models.</li>
<li>Ideate and contribute to shared data engineering tooling and standards.</li>
<li>Define and promote data engineering best practices across the company.</li>
</ul>
<h2><strong>What you bring</strong></h2>
<ul>
<li>CS background or any other relevant fields of study.</li>
<li>Strong product mindset</li>
<li>4+ years of experience and a Bachelors degree or 2+ years and a Masters degree </li>
<li>Experience building high-quality data solutions</li>
<li>Strong analytical and problem solving skills.</li>
<li>Expertise building data pipelines using open source frameworks (Hadoop, Spark, etc)</li>
<li>Expertise in one or more programming languages (ideally Python).</li>
<li>Strong SQL (Presto, Spark SQL, etc) skills.</li>
<li>Familiarity with data visualization tools (Looker, Tableau, etc).</li>
<li>Great communication skills and ability to democratize data through actionable insights and solutions.</li>
</ul>
<h2><strong>Bonus points</strong></h2>
<ul>
<li>Passion for working and learning in a fast-growing company.</li>
</ul>
<h2><strong>What we offer</strong></h2>
<ul>
<li>Challenging, high-impact work to grow your career</li>
<li>Performance driven compensation with multipliers for outsized impact, bonus programs, and equity ownership</li>
<li>Top tier benefits to fuel your work, including supplemental health insurance, ancillary insurance, and mental health support programs</li>
<li>Lifestyle wallet - a highly flexible employer-paid benefits spending account expenses beyond traditional benefits such as wellness, childcare, learning, and more.</li>
<li>Time off to recharge including company holidays, paid time off, sick time, paid volunteer time off, parental leave, and more!</li>
<li>Exceptional office experience with catered meals, events, and comfortable workspaces.</li>
<li>Monthly commuter stipend to help offset in-office commuting costs</li>
</ul>
<p>Our team is committed to providing an inclusive and welcoming interview experience for all candidates. If you require a specific accommodation during the application or interview process due to a physical or mental condition, please complete this <a href="https://robinhood.hracuity.net/webform/index/752875e4-42ba-4dff-9951-fd51e315997e" target="_blank" rel="noopener noreferrer ugc">Applicant Accommodation Form</a> to notify our team. The form should only be completed if you need a specific accommodation.</p>
<p>Vacancy Notice: This job posting represents an existing vacancy that we are actively seeking to fill.</p><div><div><div><p><strong>In addition to the base pay range listed below, this role is also eligible for bonus opportunities + equity + benefits.</strong></p>
<p>Base pay for the successful applicant will depend on a variety of job-related factors, which may include education, training, experience, location, business needs, or market demands. The expected base pay range for this role is based on the location where the work will be performed.</p>
<p><span>Base Pay Range:</span></p></div><div>Toronto, ON</div><div><span>$166,000</span><span>—</span><span>$195,000 CAD</span></div></div></div><div><p>Click <a href="https://careers.robinhood.com/benefits" target="_blank" rel="noopener noreferrer ugc">here</a> to learn more about our Total Rewards, which vary by region and entity.</p>
<p>If our mission energizes you and you’re ready to build the future of finance, we look forward to seeing your application.</p>
<p><strong>AI Usage Disclosure:</strong> Robinhood uses artificial intelligence (AI) tools to support parts of our recruiting process. These tools enhance the efficiency and consistency of our hiring process; however, all hiring decisions are made by our hiring teams.</p>
<p>Robinhood provides equal opportunity for all applicants, offers reasonable accommodations upon request, and complies with applicable equal employment and privacy laws. Inclusion is built into how we hire and work—welcoming different backgrounds, perspectives, and experiences so everyone can do their best. Please review the <a href="https://careers.robinhood.com/applicantprivacypolicy" target="_blank" rel="noopener noreferrer ugc">Privacy Policy</a> for your country of application.</p></div>

Software Developer, Data Engineering

<div><h2>Join us in building the future of finance.</h2>
<p>Our mission is to democratize finance for all. <a href="https://www.cerulli.com/press-releases/cerulli-anticipates-124-trillion-in-wealth-will-transfer-through-2048" target="_blank" rel="noopener noreferrer ugc">An estimated $124 trillion of assets</a> 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.</p></div><h2><strong>About the team + role</strong></h2>
<p>We are building an elite team, applying frontier technologies to the world’s biggest financial problems. We’re looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn’t a place for complacency, it’s where ambitious people do the best work of their careers. We’re a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards.</p>
<p>The Investment Strategy team is expanding access to sophisticated investment advice by turning high-quality portfolio management into a scalable, intuitive experience for everyday customers. Sitting at the intersection of markets, product, and customer experience, our team combines rigorous investment thinking with a mobile-first product design. We are dedicated to building accessible investing tools that reach and support millions of people! </p>
<p>As a <strong>Staff Quantitative Researcher</strong>, you will report to the Chief Investment Officer and play a key role in shaping our investment product offerings. In this role, you will build complex portfolio construction factor models, identify critical areas for methodology improvement, and design high-performing investment solutions. You will also collaborate closely with Product, Engineering, Compliance, and Legal to launch these products and bring them directly to our customers.</p>
<p><strong>This role is based in our New York, NY office, with in-person attendance expected at least 3 days per week. </strong></p>
<p>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.</p>
<h2><strong>What you’ll do</strong></h2>
<ul>
<li>Partner with the Chief Investment Officer and investment leadership to develop, refine, and maintain complex portfolio construction models.</li>
<li>Work with large datasets, including unconventional data sources, to predict and test statistical market patterns, conceptualize valuation strategies, and improve mathematical models.</li>
<li>Backtest and implement financial models and signals in a live trading environment.</li>
<li>Continuously research and analyze new approaches to building portfolio models, applying knowledge of existing and emerging quantitative finance principles, theories, and techniques to inform investment decisions.</li>
<li>Partner with product and engineering teams to help design and execute on complex projects and product launches.</li>
<li>Assist with reviews by Legal &amp; Compliance to develop written policies and procedures when new features are introduced or methodology changes are developed.</li>
</ul>
<h2><strong>What you bring</strong></h2>
<ul>
<li>5+ years of quantitative research, quantitative portfolio construction, or machine learning experience, ideally within asset management, a broker-dealer, an RIA, or broader financial services.</li>
<li>Experience taking machine learning models, research, or quantitative signals into a live investing or production environment.</li>
<li>Strong proficiency in Python and SQL for quantitative modeling, statistical analysis, and working with large-scale datasets.</li>
<li>Strong grounding in statistics, machine learning algorithms, and pattern recognition.</li>
<li>Outstanding communication skills, with a proven ability to translate complex modeling, statistical, or investment concepts for software engineering, product, and compliance partners.</li>
<li>Comfort with ambiguity, high personal ownership, and the ability to work independently to deliver on critical business milestones.</li>
</ul>
<h2><strong>What we offer</strong></h2>
<ul>
<li>Challenging, high-impact work to grow your career.</li>
<li>Performance driven compensation with multipliers for outsized impact, bonus programs, equity ownership, and 401(k) matching.</li>
<li>Top Tier benefits to fuel your work, including 100% paid health insurance for employees with 90% coverage for dependents.</li>
<li>Access to the best AI tools on the market and continuous AI skill-building for every employee, technical or not.</li>
<li>Lifestyle wallet - a highly flexible benefits spending account for wellness, learning, and more.</li>
<li>Employer-paid life &amp; disability insurance, fertility benefits, and mental health benefits.</li>
<li>Time off to recharge including company holidays, paid time off, sick time, parental leave, and more!</li>
<li>Exceptional office experience with catered meals, events, and comfortable workspaces.</li>
</ul><div><div><div><p><strong>In addition to the base pay range listed below, this role is also eligible for bonus opportunities + equity + benefits.</strong></p>
<p>Base pay for the successful applicant will depend on a variety of job-related factors, which may include education, training, experience, location, business needs, or market demands. The expected base pay range for this role is based on the location where the work will be performed and is aligned to one of 3 compensation zones. For other locations not listed, compensation can be discussed with your recruiter during the interview process.</p>
<p><span>Base Pay Range:</span></p></div><div>Zone 1 (Menlo Park, CA; New York, NY; Bellevue, WA; Washington, DC)</div><div><span>$217,000</span><span>—</span><span>$255,000 USD</span></div></div><div><div>Zone 2 (Denver, CO; Westlake, TX; Chicago, IL)</div><div><span>$191,000</span><span>—</span><span>$224,000 USD</span></div></div><div><div>Zone 3 (Lake Mary, FL; Clearwater, FL; Gainesville, FL)</div><div><span>$170,000</span><span>—</span><span>$199,000 USD</span></div></div></div><div><p>Click <a href="https://careers.robinhood.com/benefits" target="_blank" rel="noopener noreferrer ugc">here</a> to learn more about our Total Rewards, which vary by region and entity.</p>
<p>If our mission energizes you and you’re ready to build the future of finance, we look forward to seeing your application.</p>
<p><strong>AI Usage Disclosure:</strong> Robinhood uses artificial intelligence (AI) tools to support parts of our recruiting process. These tools enhance the efficiency and consistency of our hiring process; however, all hiring decisions are made by our hiring teams.</p>
<p>Robinhood provides equal opportunity for all applicants, offers reasonable accommodations upon request, and complies with applicable equal employment and privacy laws. Inclusion is built into how we hire and work—welcoming different backgrounds, perspectives, and experiences so everyone can do their best. Please review the <a href="https://careers.robinhood.com/applicantprivacypolicy" target="_blank" rel="noopener noreferrer ugc">Privacy Policy</a> for your country of application.</p></div>

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