09 Sep
|
Rippling
|
Bengaluru
09 Sep
Rippling
Bengaluru
About Rippling:
Rippling gives businesses one place to run HR, IT, and Finance. It brings together all of the workforce systems that are normally scattered across a company, like payroll, expenses, benefits, and computers. For the first time ever, you can manage and automate every part of the employee lifecycle in a single system.
Take onboarding, for example. With Rippling, you can hire a recent employee anywhere in the world and set up their payroll, corporate card, computer, benefits, and even third-party apps like Slack and Microsoft 365—all within 90 seconds.
Based in San Francisco, CA, Rippling has raised $1.4B+ from the world’s top investors—including Kleiner Perkins, Founders Fund, Sequoia, Greenoaks, and Bedrock—and was named one of America's best startup employers by Forbes.
About the role:
As a Fraud Risk Data Scientist in the Fraud Risk team at Rippling, you will play a key role in using advanced analytics and data-driven insights to identify, assess, and mitigate fraud risks across our financial products.
The primary focus of this role is to develop robust data driven risk strategies that enhance fraud detection and prevention capabilities across various product lines, such as Payroll, Bill Pay, and Card Transactions. Risk machine learning model experience is a plus.
What you will do:
- Develop data-driven fraud detection strategies: Use advanced analytics to design and enhance fraud detection strategies that address risk in real-time across multiple financial products, including transaction monitoring, onboarding, and account takeover (ATO) detection.
- Analyze fraud patterns and risk trends: Perform deep analysis on transactional data to identify fraud patterns, emerging threats, and vulnerabilities, and translate these findings into actionable risk mitigation strategies.
- Collaborate across teams: Work closely with Fraud Risk Strategy, Security, Product, and Engineering teams to align fraud prevention initiatives with business goals, ensuring analy
📌 Fraud Risk Data Scientist (Bengaluru)
🏢 Rippling
📍 Bengaluru