
About Robinhood
Democratizing finance for the next generation
Key Highlights
- Over 23 million users benefiting from commission-free trading
- Headquartered in Menlo Park, CA with 1001+ employees
- $5.6 billion raised from investors including Sequoia and Andreessen Horowitz
- Launched 'Robinhood Retirement' for gig-economy workers
Robinhood, headquartered in Menlo Park, CA, is a fintech company that revolutionized stock trading by offering commission-free trading to over 23 million users. With a total funding of $5.6 billion, Robinhood has become a key player in the trading marketplace, attracting a younger demographic intere...
🎁 Benefits
Robinhood offers premium medical, dental, and vision insurance, along with parental leave and personal prosperity benefits. Employees enjoy catered me...
🌟 Culture
Robinhood's culture is centered around accessibility and innovation, aiming to meet the financial needs of the next generation. The company encourages...
Skills & Technologies
Overview
Robinhood is hiring a Senior Data Scientist for their Fraud team to design and deploy machine learning solutions that enhance fraud detection. You'll collaborate with engineering, product, and compliance teams to improve customer security and reduce financial loss.
Job Description
Who you are
You have 5+ years of experience in data science, with a strong focus on machine learning and analytics. You are skilled in designing and deploying ML solutions that proactively identify suspicious activities and improve fraud detection precision. Your problem-solving abilities are complemented by a collaborative spirit, allowing you to work effectively with cross-functional teams including engineering, product, risk, and compliance.
You possess a deep understanding of financial systems and the challenges associated with fraud detection. Your analytical mindset enables you to leverage data to influence system architecture and shape policies that enhance the safety and integrity of financial platforms. You are driven by the mission to safeguard customers and are committed to ethical practices in your work.
Desirable
Experience with real-time analytics and fraud detection systems is a plus. Familiarity with regulatory compliance in the financial sector will help you navigate the complexities of this role. You are also encouraged to bring innovative ideas to the table, as Robinhood values bold thinkers who can contribute to building a secure financial future for all.
What you'll do
As a Senior Data Scientist on the Fraud team, you will take ownership of the design and deployment of machine learning solutions aimed at detecting and preventing fraud across Robinhood's platform. You will analyze large datasets to identify patterns of malicious behavior and develop models that enhance the precision of fraud detection. Your work will have a direct impact on customer security and the company's risk posture.
You will collaborate closely with engineering teams to influence system architecture and ensure that fraud detection mechanisms are integrated seamlessly into the platform. Additionally, you will work with product and compliance partners to shape policies based on data insights, contributing to a safe and trusted experience for all users.
Your role will involve continuous monitoring and improvement of existing fraud detection systems, utilizing advanced analytics to adapt to evolving threats. You will also be responsible for communicating findings and recommendations to stakeholders, ensuring that data-driven decisions are made at all levels of the organization.
What we offer
At Robinhood, you will be part of a high-performing, fast-moving team that is dedicated to democratizing finance for all. We offer a competitive salary and benefits package, along with opportunities for professional growth and development. You will work in an inclusive environment that values diverse backgrounds and perspectives, allowing you to do your best work.
Join us in building the future of finance and making a meaningful impact on the lives of our customers. We encourage you to apply even if your experience doesn't match every requirement — your unique perspective could be exactly what we need.
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