Rippling
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Fraud Risk Data Analyst
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Rippling 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. Taking onboarding as an example, with Rippling, you can hire a new 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.
Rippling is based in San Francisco, CA, and has raised $1.4B+ from top investors, including Kleiner Perkins, Founders Fund, Sequoia, Greenoaks, and Bedrock. Rippling was named one of America's best startup employers by Forbes. About The Role As a Fraud Data Analyst at Rippling, you will play a key role in safeguarding the financial integrity of clients by identifying and mitigating fraud risks across financial products. The Fraud Risk team is looking for a Fraud Risk Data Analyst to help protect the company and its customers from fraud. What You Will Do
Develop and maintain fraud detection rules and models tailored to the onboarding workflow to detect and block bad actors. Work closely with the Fraud, Security, Sales, Customer Experience, and Compliance teams to improve fraud onboarding and detection processes. Identify suspicious activities and fraud patterns, performing thorough investigations when necessary. Utilize SQL to assess fraud risk across new customers, recommending strategies to minimize risk. Monitor key performance indicators (KPIs) and provide regular reports to senior management. What You Will Need
2+ years of experience as a data analyst in a fraud, risk, or security function. Strong SQL skills with the ability to analyze large datasets and generate fraud-related reports. Experience with business intelligence tools like Tableau or Looker. Effective communication and presentation skills. Nice to Have
In-depth understanding of payments risks and funds flows, specifically ACH and bank transfer fraud. Experience in SaaS or FinTech environments. Additional Information Rippling is an equal opportunity employer committed to building a diverse and inclusive workforce. We provide reasonable accommodations for candidates with disabilities. This role will receive a competitive salary + benefits + equity. The pay range for this role is $124,000 - $155,000 USD per year.
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Fraud Risk Data Analyst
role at
Rippling 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. Taking onboarding as an example, with Rippling, you can hire a new 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.
Rippling is based in San Francisco, CA, and has raised $1.4B+ from top investors, including Kleiner Perkins, Founders Fund, Sequoia, Greenoaks, and Bedrock. Rippling was named one of America's best startup employers by Forbes. About The Role As a Fraud Data Analyst at Rippling, you will play a key role in safeguarding the financial integrity of clients by identifying and mitigating fraud risks across financial products. The Fraud Risk team is looking for a Fraud Risk Data Analyst to help protect the company and its customers from fraud. What You Will Do
Develop and maintain fraud detection rules and models tailored to the onboarding workflow to detect and block bad actors. Work closely with the Fraud, Security, Sales, Customer Experience, and Compliance teams to improve fraud onboarding and detection processes. Identify suspicious activities and fraud patterns, performing thorough investigations when necessary. Utilize SQL to assess fraud risk across new customers, recommending strategies to minimize risk. Monitor key performance indicators (KPIs) and provide regular reports to senior management. What You Will Need
2+ years of experience as a data analyst in a fraud, risk, or security function. Strong SQL skills with the ability to analyze large datasets and generate fraud-related reports. Experience with business intelligence tools like Tableau or Looker. Effective communication and presentation skills. Nice to Have
In-depth understanding of payments risks and funds flows, specifically ACH and bank transfer fraud. Experience in SaaS or FinTech environments. Additional Information Rippling is an equal opportunity employer committed to building a diverse and inclusive workforce. We provide reasonable accommodations for candidates with disabilities. This role will receive a competitive salary + benefits + equity. The pay range for this role is $124,000 - $155,000 USD per year.
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