<h3>About the team + role </h3>
Brokerage products are the bread and butter of Robinhood. The brokerage team is a fast-paced, dynamic, and innovative team. As a member of this cross-functional group, you will collaborate closely with partners in product, operations, and engineering to unlock the potential of our data and shape the future of the brokerage products.
We're looking for a dedicated, ambitious Senior Data Scientist to join our Brokerage Data Science team. In this role, you will be using analytics, ML and quantitative finance models, and your engineering skills to build data solutions to drive growth of our brokerage businesses, including margin lending and securities lending, and other leveraged trading products.
<h3>What you’ll do</h3>
<ul>
<li>Perform exploratory analysis to identify growth opportunities that can move core business metrics.</li>
<li>Design data and modeling solutions leveraging advanced statistical methods, machine learning, and quantitative finance models to price securities and assess risk of leveraged trading products.</li>
<li>Partner closely with Product, Operations, and Engineering to build and integrate model-driven decision flow into business processes.</li>
<li>Conduct post-launch analysis to evaluate model performance and associated business value.</li>
<li>Communicate effectively the solution designs and data insights to cross-functional partners and stakeholders.</li>
</ul>
<h3>What you bring </h3>
<ul>
<li>PhD in a quantitative field such as Mathematics, Statistics, or Engineering with 3+ years of relevant work experience, or a Master’s degree with 5+ years of relevant work experience.</li>
<li>Strong passion to apply modeling and engineering skills to solve complex business problems.</li>
<li>Strong data wrangling skills to produce analytics insights by exploring large scale data sets using SQL and Spark.</li>
<li>Proven ability in applying statistical methods, predictive modeling, and optimization algorithms in solving business problems.</li>
<li>In-depth knowledge of quantitative finance models, including but not limited to asset volatility models, factor models, options pricing models.</li>
<li>Strong communication skills and ability to present sophisticated quantitative insights clearly to a non-technical audience.</li>
</ul>
<h3>What we offer</h3>
<ul>
<li>Market competitive and pay equity-focused compensation structure.</li>
<li>100% paid health insurance for employees with 90% coverage for dependents.</li>
<li>Annual lifestyle wallet for personal wellness, learning and development, and more!</li>
<li>Lifetime maximum benefit for family forming and fertility benefits.</li>
<li>Dedicated mental health support for employees and eligible dependents.</li>
<li>Generous time away including company holidays, paid time off, sick time, parental leave, and more!</li>
<li>Lively office environment with catered meals, fully stocked kitchens, and geo-specific commuter benefits.</li>
</ul>
#J-18808-Ljbffr

Join a leading fintech company that's democratizing finance for all. Robinhood Markets was founded on a simple idea: that our financial markets should be accessible to all. With customers at the heart of our decisions, Robinhood and its subsidiaries and affiliates are lowering barriers and providing greater access to financial information. Together, we are building products and services that help create a financial system everyone can participate in. With growth as the top priority... The business is seeking curious, growth-minded thinkers to help shape our vision, structures and systems; playing a key-role as we launch into our ambitious future. If you're invigorated by our mission, values, and drive to change the world - we'd love to have you apply. About the team + role Insights from data power most decisions at Robinhood. Data Scientist here works with other data scientists and engineers to collect, organize, and analyze data from all parts of our business to power these decisions. Every decision made at Robinhood is backed by data. Our company trajectory is defined by the systems, tools, and analytics powered by our exceptional team. We integrate multifaceted data streams such as rapidly changing market data, user data based on app activity, and brokerage operations data to perfect our processes and workflows. We are seeking an experienced data scientist to join our Experimentation Platform Team. In this role, you will be responsible for strengthening our experimentation strategy and driving excellence in our experimentation processes. This position requires deep domain knowledge in experimental design and statistical methodology. Prior experience in developing experimentation tooling capabilities is preferred. 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. What you'll do <ul><li>Evaluate current experimentation practices across the organization and identify opportunities for improvement</li><li>Improve the statistical methodologies underpinning our experimentation platform</li><li>Enhance the quality and velocity of our experimentation capabilities</li><li>Develop best practices for experimentation across the organization</li><li>Contribute to the roadmap by helping to define and prioritize future initiatives</li><li>Partner with the engineering team to develop platform capabilities that support a culture of experimentation and data-driven decision-making</li><li>Consult with data science and engineering teams to provide guidance on statistically valid approaches to problems</li></ul>What you bring <ul><li>PhD or master's degree in a quantitative field such as mathematics, statistics, engineering or natural sciences.</li><li>At least 2+ years of experience in statistics, design of experiments, A/B testing, causal inference; prior experience in building or significantly contributing to an experimentation platform is a plus</li><li>Deep understanding of statistical methodologies, including A/B testing, multivariate testing, adaptive experimentation techniques and machine learning algorithms</li><li>Excellent programming skills, including expert-level familiarity with either Python or R programming languages</li><li>Demonstrates strong communication, proactiveness, creativity, and prioritization skills.</li></ul>What we offer <ul><li>Market competitive and pay equity-focused compensation structure</li><li>100% paid health insurance for employees with 90% coverage for dependents</li><li>Annual lifestyle wallet for personal wellness, learning and development, and more!</li><li>Lifetime maximum benefit for family forming and fertility benefits</li><li>Dedicated mental health support for employees and eligible dependents</li><li>Generous time away including company holidays, paid time off, sick time, parental leave, and more!</li><li>Lively office environment with catered meals, fully stocked kitchens, and geo-specific commuter benefits</li></ul> We use Covey as part of our hiring and / or promotional process for jobs in NYC and certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on September 19, 2024. Please see the independent bias audit report covering our use of Covey here. 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 salary range for this role is based on the location where the work will be performed and is aligned to one of 3 compensation zones. This role is also eligible to participate in a Robinhood bonus plan and Robinhood's equity plan. For other locations not listed, compensation can be discussed with your recruiter during the interview process. Zone 1 (Menlo Park, CA; New York, NY; Bellevue, WA; Washington, DC) $187,000-$220,000 USD Zone 2 (Denver, CO; Westlake, TX; Chicago, IL) $165,000-$194,000 USD Zone 3 (Lake Mary, FL) $146,000-$172,000 USD Click here to learn more about available Benefits, which vary by region and Robinhood entity. We're looking for more growth-minded and collaborative people to be a part of our journey in democratizing finance for all. If you're ready to give 100% in helping us achieve our mission-we'd love to have you apply even if you feel unsure about whether you meet every single requirement in this posting. At Robinhood, we're looking for people invigorated by our mission, values, and drive to change the world, not just those who simply check off all the boxes. Robinhood embraces a diversity of backgrounds and experiences and provides equal opportunity for all applicants and employees. We are dedicated to building a company that represents a variety of backgrounds, perspectives, and skills. We believe that the more inclusive we are, the better our work (and work environment) will be for everyone. Additionally, Robinhood provides reasonable accommodations for candidates on request and respects applicants' privacy rights. Please review the specific Robinhood Privacy Policy applicable to the country where you are applying.

Join a leading fintech company that’s democratizing finance for all.Robinhood Markets was founded on a simple idea: that our financial markets should be accessible to all. With customers at the heart of our decisions, Robinhood and its subsidiaries and affiliates are lowering barriers and providing greater access to financial information. Together, we are building products and services that help create a financial system everyone can participate in.With growth as the top priority...The business is seeking curious, growth-minded thinkers to help shape our vision, structures, and systems; playing a key role as we launch into our ambitious future. If you’re invigorated by our mission, values, and drive to change the world — we’d love to have you apply.About the team + roleInsights from data power most decisions at Robinhood. Data Scientists here work with other data scientists and engineers to collect, organize, and analyze data from all parts of our business to power these decisions.Every decision made at Robinhood is backed by data. Our company trajectory is defined by the systems, tools, and analytics powered by our exceptional team. We integrate multifaceted data streams such as rapidly changing market data, user data based on app activity, and brokerage operations data to perfect our processes and workflows.We are seeking an experienced data scientist to join our Experimentation Platform Team. In this role, you will be responsible for strengthening our experimentation strategy and driving excellence in our experimentation processes. This position requires deep domain knowledge in experimental design and statistical methodology. Prior experience in developing experimentation tooling capabilities is preferred.What you’ll do<ol><li>Evaluate current experimentation practices across the organization and identify opportunities for improvement.</li><li>Improve the statistical methodologies underpinning our experimentation platform.</li><li>Enhance the quality and velocity of our experimentation capabilities.</li><li>Develop best practices for experimentation across the organization.</li><li>Contribute to the roadmap by helping to define and prioritize future initiatives.</li><li>Partner with the engineering team to develop platform capabilities that support a culture of experimentation and data-driven decision-making.</li><li>Consult with data science and engineering teams to provide guidance on statistically valid approaches to problems.</li></ol>What you bring<ol><li>PhD or master’s degree in a quantitative field such as mathematics, statistics, engineering, or natural sciences.</li><li>At least 2+ years of experience in statistics, design of experiments, A/B testing, causal inference; prior experience in building or significantly contributing to an experimentation platform is a plus.</li><li>Deep understanding of statistical methodologies, including A/B testing, multivariate testing, adaptive experimentation techniques, and machine learning algorithms.</li><li>Excellent programming skills, including expert-level familiarity with either Python or R programming languages.</li><li>Demonstrates strong communication, proactiveness, creativity, and prioritization skills.</li></ol>What we offer<ol><li>Market competitive and pay equity-focused compensation structure.</li><li>100% paid health insurance for employees with 90% coverage for dependents.</li><li>Annual lifestyle wallet for personal wellness, learning and development, and more!</li><li>Lifetime maximum benefit for family forming and fertility benefits.</li><li>Dedicated mental health support for employees and eligible dependents.</li><li>Generous time away including company holidays, paid time off, sick time, parental leave, and more!</li><li>Lively office environment with catered meals, fully stocked kitchens, and geo-specific commuter benefits.</li></ol>We’re looking for more growth-minded and collaborative people to be a part of our journey in democratizing finance for all. If you’re ready to give 100% in helping us achieve our mission—we’d love to have you apply even if you feel unsure about whether you meet every single requirement in this posting. At Robinhood, we're looking for people invigorated by our mission, values, and drive to change the world, not just those who simply check off all the boxes.Robinhood embraces a diversity of backgrounds and experiences and provides equal opportunity for all applicants and employees. We are dedicated to building a company that represents a variety of backgrounds, perspectives, and skills. We believe that the more inclusive we are, the better our work (and work environment) will be for everyone. Additionally, Robinhood provides reasonable accommodations for candidates on request and respects applicants' privacy rights. Please review the specific <a>Robinhood Privacy Policy</a> applicable to the country where you are applying.
#J-18808-Ljbffr

<h3>About the team + role </h3>
Brokerage products are the bread and butter of Robinhood. The brokerage team is a fast-paced, dynamic, and innovative team. As a member of this cross-functional group, you will collaborate closely with partners in trade execution, product, engineering, and compliance to unlock the potential of our data and shape the future of the brokerage products.
We are seeking an experienced Data Scientist to join our Brokerage team. In this role, you will be responsible for strengthening our routing strategy and driving excellence in our trade execution. This position requires proven experience in statistical modeling and optimization theory. Prior experience in finance and market behavior is preferred.
<h3>What you’ll do</h3>
<ul>
<li>Develop, refine, and implement sophisticated data models to analyze large datasets, with a focus on market structure and order routing optimization.</li>
<li>Apply concepts from game theory and auction design to understand competitive behavior, pricing dynamics, and strategic decision-making in the markets.</li>
<li>Collaborate with trading teams to design, test, and improve algorithms that optimize trade execution.</li>
<li>Conduct post-trade analysis to evaluate performance against internal and industry benchmarks, resulting in recommendations for improvements.</li>
<li>Partner with traders, strategists, and software engineers to translate business needs into data-driven solutions and present insights to stakeholders.</li>
</ul>
<h3>What you bring </h3>
<ul>
<li>PhD in a quantitative field such as Mathematics, Statistics, or Engineering with 5+ years of relevant work experience, or a Master’s degree with 7+ years of relevant work experience.</li>
<li>Proven experience applying game theory, market microstructure analysis, or auction theory in a practical setting.</li>
<li>Proficiency in data analysis tools and programming languages such as Python, R, SQL, and machine learning frameworks.</li>
<li>Proficient knowledge of FINRA best execution rules and their application in the market.</li>
<li>Experience with financial data platforms and market data APIs.</li>
<li>Strong grasp of statistical methods, predictive modeling, and optimization algorithms.</li>
</ul>
<h3>What we offer</h3>
<ul>
<li>Market competitive and pay equity-focused compensation structure</li>
<li>100% paid health insurance for employees with 90% coverage for dependents</li>
<li>Annual lifestyle wallet for personal wellness, learning and development, and more!</li>
<li>Lifetime maximum benefit for family forming and fertility benefits</li>
<li>Dedicated mental health support for employees and eligible dependents</li>
<li>Generous time away including company holidays, paid time off, sick time, parental leave, and more!</li>
<li>Lively office environment with catered meals, fully stocked kitchens, and geo-specific commuter benefits</li>
</ul>
#J-18808-Ljbffr

Join a leading fintech company that's democratizing finance for all. Robinhood Markets was founded on a simple idea: that our financial markets should be accessible to all. With customers at the heart of our decisions, Robinhood and its subsidiaries and affiliates are lowering barriers and providing greater access to financial information. Together, we are building products and services that help create a financial system everyone can participate in. With growth as the top priority... The business is seeking curious, growth-minded thinkers to help shape our vision, structures and systems; playing a key-role as we launch into our ambitious future. If you're invigorated by our mission, values, and drive to change the world - we'd love to have you apply. About the team + role Insights from data power many decisions at Robinhood. Our company trajectory is shaped by the systems, tools, and analytics driven by this exceptional data science team. As a senior product data scientist, you will play a critical role in optimizing and enhancing the product's performance by harnessing data and analytics to drive informed decision-making and innovations. Brokerage products are the bread and butter of Robinhood. The brokerage team is a fast-paced, dynamic, and innovative team. As a member of this cross-functional group, you will collaborate closely with partners in product, engineering, user research, design, marketing, finance and compliance to unlock the potential of our data and shape the future of the brokerage products. 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. 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. What you'll do <ul> <li>Initiate and execute large analysis projects to deepen understanding of customers, uncover product improvement opportunities, provide actionable recommendations, and drive impact for our business. </li><li>Develop and maintain machine learning models and statistical models to enhance the product's performance and user experience. </li><li>Design, plan, execute and analyze experiments to evaluate the impact of product changes. Develop experiment design and experiment analysis frameworks. </li><li>Define metrics system to measure product performance. Build dashboards and reports to understand and monitor these metrics. Iteratively improve the metrics and the dashboard system. </li><li>Create data visualizations and reports, synthesize data insights to compelling stories, to effectively communicate them to cross-function partners, stakeholders, and senior executives. </li><li>Design, develop and maintain data pipelines with outstanding craftsmanship. </li><li>Mentor others as needed to uplift the team's capacity, and to democratize data knowledge and data insights within the company </li></ul>What you bring <ul> <li>Graduate degree in a quantitative field such as mathematics, economics, statistics, engineering, computer science, etc. </li><li>5+ years of demonstrated experience working in product analytics or data science </li><li>Track record of initiating, and executing large / complex deep dive projects </li><li>Track record of developing data insights that generates business impact </li><li>Solid understanding of statistics. Practical experience in AB testing and causal inferenc </li><li>Solid understanding of ML algorithms. Practical experience in applying ML to uncover valuable insights, to improve user experience and product performance </li><li>Expert level SQL, Python skills </li><li>Excellent data visualization skills and data storytelling skills </li><li>Experience in product data science in a dynamic, innovative, and fast-paced high tech environment </li></ul>What we offer <ul> <li>Market competitive and pay equity-focused compensation structure </li><li>100% paid health insurance for employees with 90% coverage for dependents </li><li>Annual lifestyle wallet for personal wellness, learning and development, and more! </li><li>Lifetime maximum benefit for family forming and fertility benefits </li><li>Dedicated mental health support for employees and eligible dependents </li><li>Generous time away including company holidays, paid time off, sick time, parental leave, and more! </li><li>Lively office environment with catered meals, fully stocked kitchens, and geo-specific commuter benefits </li></ul> We use Covey as part of our hiring and / or promotional process for jobs in NYC and certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on September 19, 2024. Please see the independent bias audit report covering our use of Covey here. 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 salary range for this role is based on the location where the work will be performed and is aligned to one of 3 compensation zones. This role is also eligible to participate in a Robinhood bonus plan and Robinhood's equity plan. For other locations not listed, compensation can be discussed with your recruiter during the interview process. Zone 1 (Menlo Park, CA; New York, NY; Bellevue, WA; Washington, DC) $161,500-$190,000 USD Zone 2 (Denver, CO; Westlake, TX; Chicago, IL) $141,950-$167,000 USD Zone 3 (Lake Mary, FL) $125,800-$148,000 USD Click here to learn more about available Benefits, which vary by region and Robinhood entity. We're looking for more growth-minded and collaborative people to be a part of our journey in democratizing finance for all. If you're ready to give 100% in helping us achieve our mission-we'd love to have you apply even if you feel unsure about whether you meet every single requirement in this posting. At Robinhood, we're looking for people invigorated by our mission, values, and drive to change the world, not just those who simply check off all the boxes. Robinhood embraces a diversity of backgrounds and experiences and provides equal opportunity for all applicants and employees. We are dedicated to building a company that represents a variety of backgrounds, perspectives, and skills. We believe that the more inclusive we are, the better our work (and work environment) will be for everyone. Additionally, Robinhood provides reasonable accommodations for candidates on request and respects applicants' privacy rights. Please review the specific Robinhood Privacy Policy applicable to the country where you are applying.

Join a leading fintech company that's democratizing finance for all. Robinhood Markets was founded on a simple idea: that our financial markets should be accessible to all. With customers at the heart of our decisions, Robinhood and its subsidiaries and affiliates are lowering barriers and providing greater access to financial information. Together, we are building products and services that help create a financial system everyone can participate in. With growth as the top priority... The business is seeking curious, growth-minded thinkers to help shape our vision, structures and systems; playing a key-role as we launch into our ambitious future. If you're invigorated by our mission, values, and drive to change the world - we'd love to have you apply. About the team + role Brokerage products are the bread and butter of Robinhood. The brokerage team is a fast-paced, dynamic, and innovative team. As a member of this cross-functional group, you will collaborate closely with partners in product, operations, engineering, to unlock the potential of our data and shape the future of the brokerage products. We're looking for a dedicated, ambitious Senior Data Scientist to join our Brokerage Data Science team. In this role, you will be using analytics, ML and quantitative finance models, and your engineering skills to build data solutions to drive growth of our brokerage businesses, including margin lending and securities lending, and other leveraged trading products. 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. What you'll do <ul> <li>Perform exploratory analysis to identify growth opportunities that can move core business metrics </li><li>Design data and modeling solutions leveraging advanced statistical methods, machine learning, and quantitative finance models to price securities and assess risk of leveraged trading products </li><li>Partner closely with Product, Operations, Engineering to build and integrate model driven decision flow into business processes </li><li>Conduct post-launch analysis to evaluate model performance and associated business value </li><li>Communicate effectively the solution designs and data insights to cross functional partners and stakeholders </li></ul>What you bring <ul> <li>PhD in a quantitative field such as Mathematics, Statistics, or Engineering with 3+ years of relevant work experience, or a Master's degree with 5+ years of relevant work experience. </li><li>Strong passion to apply modeling and engineering skills to solve complex business problems </li><li>Strong data wrangling skills to produce analytics insights by exploring large scale data sets using SQL and Spark </li><li>Proven ability in applying statistical methods, predictive modeling, and optimization algorithms in solving business problems </li><li>In-depth knowledge of quantitative finance models, including but not limited to asset volatility models, factor models, options pricing models </li><li>Strong communication skills and ability to present sophisticated quantitative insights clearly to non-technical audience </li></ul>What we offer <ul> <li>Market competitive and pay equity-focused compensation structure </li><li>100% paid health insurance for employees with 90% coverage for dependents </li><li>Annual lifestyle wallet for personal wellness, learning and development, and more! </li><li>Lifetime maximum benefit for family forming and fertility benefits </li><li>Dedicated mental health support for employees and eligible dependents </li><li>Generous time away including company holidays, paid time off, sick time, parental leave, and more! </li><li>Lively office environment with catered meals, fully stocked kitchens, and geo-specific commuter benefits </li></ul> We use Covey as part of our hiring and / or promotional process for jobs in NYC and certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on September 19, 2024. Please see the independent bias audit report covering our use of Covey here. 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 salary range for this role is based on the location where the work will be performed and is aligned to one of 3 compensation zones. This role is also eligible to participate in a Robinhood bonus plan and Robinhood's equity plan. For other locations not listed, compensation can be discussed with your recruiter during the interview process. Zone 1 (Menlo Park, CA; New York, NY; Bellevue, WA; Washington, DC) $187,000-$220,000 USD Zone 2 (Denver, CO; Westlake, TX; Chicago, IL) $165,000-$194,000 USD Zone 3 (Lake Mary, FL) $146,000-$172,000 USD Click here to learn more about available Benefits, which vary by region and Robinhood entity. We're looking for more growth-minded and collaborative people to be a part of our journey in democratizing finance for all. If you're ready to give 100% in helping us achieve our mission-we'd love to have you apply even if you feel unsure about whether you meet every single requirement in this posting. At Robinhood, we're looking for people invigorated by our mission, values, and drive to change the world, not just those who simply check off all the boxes. Robinhood embraces a diversity of backgrounds and experiences and provides equal opportunity for all applicants and employees. We are dedicated to building a company that represents a variety of backgrounds, perspectives, and skills. We believe that the more inclusive we are, the better our work (and work environment) will be for everyone. Additionally, Robinhood provides reasonable accommodations for candidates on request and respects applicants' privacy rights. Please review the specific Robinhood Privacy Policy applicable to the country where you are applying.

Data Scientist Robinhood Jobs

Senior Data Scientist Brokerage
December 14, 2024

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December 10, 2024

Senior Data Scientist Experimentation Platform
December 9, 2024

Staff Data Scientist Brokerage
December 9, 2024

Senior Data Scientist Product Analytics Brokerage
December 6, 2024

Senior Data Scientist Brokerage
November 30, 2024

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Data Scientist Robinhood Jobs

Senior Data Scientist BrokerageDecember 14, 2024

Senior Data Scientist Experimentation PlatformDecember 10, 2024

Senior Data Scientist Experimentation PlatformDecember 9, 2024

Staff Data Scientist BrokerageDecember 9, 2024

Senior Data Scientist Product Analytics BrokerageDecember 6, 2024

Senior Data Scientist BrokerageNovember 30, 2024