Robinhood
Fraud Data Scientist
Robinhood, Menlo Park, California, United States, 94029
Join a leading fintech company that’s democratizing finance for all.Robinhood was founded on a simple idea: that our financial markets should be accessible to all. With customers at the heart of our decisions, Robinhood is 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.As we continue to build...We’re 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 and our company trajectory is defined by the systems, tools, and analytics powered by this exceptional team. As a Data Scientist working on Risk you would work with engineers, product managers and operations teams across the company to understand and mitigate the risks to our business.Robinhood faces unique data challenges with a focus on integrating multifaceted data streams such as rapidly changing market data, user data based on app activity, and brokerage operations data to understand user behavior and the risks to our business.We are looking for experienced Data Scientists to help detect and reduce risk to Robinhood - a crucial role to our business and customers. The ideal candidate is passionate about understanding the different risk vectors at a fast-growing company and building solutions to mitigate these risks. This team is part of the larger Data Team here at Robinhood.What You’ll Do
Combining knowledge of several research domains to improve our understanding of different risks to Robinhood and help power decisions.Designing new machine learning systems to power the fraud prevention and risk reduction efforts at Robinhood especially in product areas.Build production grade models on large-scale datasets to measure effectiveness across products by leveraging statistical modeling, machine learning and data mining techniques.Collaborate with the rest of the data team and partner marketing, product, content, design teams to build data solutions and products to drive user and revenue growth.Work with cross-functional teams to implement insights and analytical solutions to empower data-driven decision making.Problem solving skills and a can-do attitude to dive deep into data to solve business problems.What You Bring
Familiarity with fraud domains and banking processes, including account takeover, ACH fraud, debit/credit card fraud, first-party fraud, and synthetic identity fraud.Demonstrated expertise in building and deploying fraud models using large datasets, with a strong track record of success in fraud detection and prevention.Knowledge of model risk governance and experience collaborating with model validation teams to ensure compliance with regulatory requirements.Graduate degree in a quantitative field such as mathematics, economics, statistics, engineering or natural sciences (or equivalent research experience).Solid understanding of unsupervised learning, statistical analysis and machine learning algorithms for imbalanced datasets.Excellent programming skills, including familiarity with either Python (numpy, scipy, pandas) or R programming languages.Experience with Tableau, Looker, and/or Mode.Experience communicating data driven insights.2-4+ years professional experience as a Data Scientist.1 year of experience working in a research setting in academic or commercial setting.Passion for working and learning in a fast-growing company.Strong customer empathy.Intense sense of curiosity.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.US Zone 1: $157000 - $185000US Zone 2: $139000 - $163000US Zone 3: $122000 - $144000Base 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. You can view comp zones for our US office locations in the table below. For other locations not listed, compensation can be discussed with your recruiter during the interview process.Office locations (by comp zone)
US Zone 1: Menlo Park, CA; New York, NY; Seattle, WA; Washington, D.C.US Zone 2: Denver, CO; Westlake (Dallas), TX; Chicago, ILUS Zone 3: Lake Mary, FLClick Here To Learn More About Robinhood’s Benefits.Robinhood promotes diversity 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. To review Robinhood's Privacy Policy please visit Robinhood - US Applicant Privacy Policy. If you are an applicant located in the UK or EEA, please visit the Robinhood - UK/EEA Applicant Privacy Policy.
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Insights from data power most decisions at Robinhood and our company trajectory is defined by the systems, tools, and analytics powered by this exceptional team. As a Data Scientist working on Risk you would work with engineers, product managers and operations teams across the company to understand and mitigate the risks to our business.Robinhood faces unique data challenges with a focus on integrating multifaceted data streams such as rapidly changing market data, user data based on app activity, and brokerage operations data to understand user behavior and the risks to our business.We are looking for experienced Data Scientists to help detect and reduce risk to Robinhood - a crucial role to our business and customers. The ideal candidate is passionate about understanding the different risk vectors at a fast-growing company and building solutions to mitigate these risks. This team is part of the larger Data Team here at Robinhood.What You’ll Do
Combining knowledge of several research domains to improve our understanding of different risks to Robinhood and help power decisions.Designing new machine learning systems to power the fraud prevention and risk reduction efforts at Robinhood especially in product areas.Build production grade models on large-scale datasets to measure effectiveness across products by leveraging statistical modeling, machine learning and data mining techniques.Collaborate with the rest of the data team and partner marketing, product, content, design teams to build data solutions and products to drive user and revenue growth.Work with cross-functional teams to implement insights and analytical solutions to empower data-driven decision making.Problem solving skills and a can-do attitude to dive deep into data to solve business problems.What You Bring
Familiarity with fraud domains and banking processes, including account takeover, ACH fraud, debit/credit card fraud, first-party fraud, and synthetic identity fraud.Demonstrated expertise in building and deploying fraud models using large datasets, with a strong track record of success in fraud detection and prevention.Knowledge of model risk governance and experience collaborating with model validation teams to ensure compliance with regulatory requirements.Graduate degree in a quantitative field such as mathematics, economics, statistics, engineering or natural sciences (or equivalent research experience).Solid understanding of unsupervised learning, statistical analysis and machine learning algorithms for imbalanced datasets.Excellent programming skills, including familiarity with either Python (numpy, scipy, pandas) or R programming languages.Experience with Tableau, Looker, and/or Mode.Experience communicating data driven insights.2-4+ years professional experience as a Data Scientist.1 year of experience working in a research setting in academic or commercial setting.Passion for working and learning in a fast-growing company.Strong customer empathy.Intense sense of curiosity.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.US Zone 1: $157000 - $185000US Zone 2: $139000 - $163000US Zone 3: $122000 - $144000Base 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. You can view comp zones for our US office locations in the table below. For other locations not listed, compensation can be discussed with your recruiter during the interview process.Office locations (by comp zone)
US Zone 1: Menlo Park, CA; New York, NY; Seattle, WA; Washington, D.C.US Zone 2: Denver, CO; Westlake (Dallas), TX; Chicago, ILUS Zone 3: Lake Mary, FLClick Here To Learn More About Robinhood’s Benefits.Robinhood promotes diversity 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. To review Robinhood's Privacy Policy please visit Robinhood - US Applicant Privacy Policy. If you are an applicant located in the UK or EEA, please visit the Robinhood - UK/EEA Applicant Privacy Policy.
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