Home › Companies › Rippling › Senior Fraud Strategy Data Analyst
Senior Fraud Strategy Data Analyst
Rippling · Hybrid (San Francisco, California, US), San Francisco, CA, United States · Hybrid · Active · $100,800–$168,000 / year · Rippling ATS
Job facts
| Field | Value |
|---|---|
| Company | Rippling |
| Title | Senior Fraud Strategy Data Analyst |
| Normalized title | - |
| Department / team | Risk Strategy & Analytics |
| Location | San Francisco, CA, United States |
| Work model | Hybrid / Hybrid |
| Employment type | Full Time |
| Salary | $100,800–$168,000 / year |
| Status | active |
| ATS provider | Rippling ATS |
| Posted / first seen | 2026-05-15 / 2026-05-29 |
| Changed / last seen | 2026-05-29 / 2026-06-06 |
Related slices
| Page | What it contains | Open |
|---|---|---|
| Company jobs | Active postings from Rippling. | Open |
| Company breakdowns | Role, location, ATS, and work model facets for this company. | Open |
| ATS provider jobs | Active postings observed through Rippling ATS. | Open |
| Provider filtered search | The same provider as a filtered job collection. | Open |
| City jobs | Active postings in San Francisco. | Open |
| Department jobs | Active postings in Risk Strategy & Analytics. | Open |
| Work model jobs | Active Hybrid postings. | Open |
| Lifecycle events | Open, update, close, and reopen events for this posting. | Open |
| Original posting | Canonical source or apply URL captured from the ATS. | Open |
Linked records
| Company | Rippling |
| Source | 02062ba4-35e8-43e7-964f-b1ad299a2912 |
| ATS provider | Rippling ATS |
Description
company
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 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.
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.
We prioritize candidate safety. Please be aware that all official communication will only be sent from @ Rippling.com addresses.
role
About the role As the Senior Fraud Strategy Data Analyst, you will play a key role in protecting our organization's integrity by analyzing fraud risk across the platform and supporting the development of strategies to address account takeover (ATO) fraud, suspicious activity detection, and fraud risk controls related to product access and adverse actions. You will leverage your analytical skills and business acumen to surface insights, build detection logic, and partner with data science, security, product, and compliance teams to strengthen our fraud prevention posture.
What you will do Analyze platform fraud trends and contribute to fraud risk control strategies for ATO, suspicious activity detection, and financial product access. Use SQL and Python to perform complex data analysis, build dashboards, and generate insights that inform risk management decisions and strategy development. Help design, test, and refine fraud detection rules and algorithms to identify and mitigate suspicious activities across the platform. Support the implementation of policies and controls that prevent unauthorized account access and adverse actions, partnering with security engineering on tracking and detection. Conduct data-driven investigations to uncover fraud patterns, measure control performance, and recommend optimizations to detection methodologies. Perform cost-benefit and impact analyses that balance fraud prevention with user experience and operational efficiency. Collaborate across teams — including Security, Sales, Customer Service, and Compliance — to support fraud monitoring and response workflows. Partner with R&D on requirements for fraud detection and investigation tooling, providing data-driven feedback to ensure they meet evolving business needs. What you will need 4+ years of experience in fraud prevention and detection, risk analytics, or a closely related analytical role, ideally within the financial technology sector. Bachelor's degree in a relevant field (e.g., Mathematics, Statistics, Computer Science, Economics, or a related discipline); a Master's degree is preferred. Strong expertise in data analysis with demonstrated proficiency in SQL and Python for fraud detection, investigation, and strategy support. Solid understanding of account takeover risks, suspicious activity patterns, and fraud prevention methodologies. Familiarity with industry-leading tools and third-party risk vendors for fraud detection and analysis. Working knowledge of industry regulations and compliance requirements related to fraud risk management. Excellent communication skills, with the ability to translate complex data insights into clear recommendations for technical and non-technical stakeholders. Strong attention to detail, intellectual curiosity, and a bias toward action in ambiguous problem spaces. Additional Information Rippling is an equal opportunity employer. We are committed to building a diverse and inclusive workforce and do not discriminate based on race, religion, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, age, sexual orientation, veteran or military status, or any other legally protected characteristics, Rippling is committed to providing reasonable accommodations for candidates with disabilities who need assistance during the hiring process. To request a reasonable accommodation, please email [email protected]
Rippling highly values having employees working in-office to foster a collaborative work environment and company culture. For office-based employees (employees who live within a defined radius of a Rippling office), Rippling considers working in the office, at least three days a week under current policy, to be an essential function of the employee's role. We intend to hire someone to work out of our San Francisco office.
This role will receive a competitive salary + benefits + equity. The salary for US-based employees will be aligned with one of the ranges below based on location; see which tier applies to your location here .
A variety of factors are considered when determining someone’s compensation–including a candidate’s professional background, experience, and location. Final offer amounts may vary from the amounts listed below.
Full job record
| Job ID | ffa54344351100d33e172cb42bf52cbfb49c3620 |
| Org ID | 95955af6-63d9-4202-8015-38114b0c4352 |
| Source ID | 02062ba4-35e8-43e7-964f-b1ad299a2912 |
| Board ID | 02062ba4-35e8-43e7-964f-b1ad299a2912 |
| Provider | rippling |
| Provider Job Key | 6f2da09c-b022-4c9a-9bb3-545eb3fe6864 |
| Title | Senior Fraud Strategy Data Analyst |
| Normalized Title | — |
| Status | active |
| Active | yes |
| Location Text | Hybrid (San Francisco, California, US), San Francisco, CA, United States |
| Department | Risk Strategy & Analytics |
| Team | — |
| Employment Type | full_time |
| Workplace Type | hybrid |
| Remote Policy | hybrid |
| Country | United States |
| Region | CA |
| City | San Francisco |
| Salary Raw | USD 100800-168000 YEAR |
| Salary Min | 100,800 |
| Salary Max | 168,000 |
| Salary Currency | USD |
| Salary Period | year |
| Source URL | https://ats.rippling.com/rippling/jobs/6f2da09c-b022-4c9a-9bb3-545eb3fe6864 |
| Apply URL | https://ats.rippling.com/rippling/jobs/6f2da09c-b022-4c9a-9bb3-545eb3fe6864 |
| First Seen At | 2026-05-29 07:06:04Z |
| Last Seen At | 2026-06-06 18:47:56Z |
| Last Checked At | 2026-06-06 18:47:56Z |
| Last Changed At | 2026-05-29 07:06:04Z |
| Inactive At | — |
| Source Posted At | 2026-05-15 23:58:58Z |
| Source Updated At | — |
| Raw Payload Uri | s3://job-postings-prod-raw-590183727216/raw/provider=rippling/board=rippling/date=2026-06-06/2026-06-06T18-47-12-364Z-8e1cce66186ea3ee494130c0b15921dc0d71aaa37e03abd15f09e33ca1ed486c.json |
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"role": "<meta><h2 style=\"font-family:"Basel Grotesk",Arial,sans-serif;line-height:1.6;font-size:15pt;font-weight:600;letter-spacing:0.5px;margin-top:18px;margin-bottom:4px;padding-left:0px;\"><b><strong style=\"white-space:pre-wrap;\">About the role</strong></b></h2><p style=\"font-family:"Basel Grotesk",Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><span style=\"font-size:11pt;white-space:pre-wrap;\">As the Senior Fraud Strategy Data Analyst, you will play a key role in protecting our organization's integrity by analyzing fraud risk across the platform and supporting the development of strategies to address account takeover (ATO) fraud, suspicious activity detection, and fraud risk controls related to product access and adverse actions. You will leverage your analytical skills and business acumen to surface insights, build detection logic, and partner with data science, security, product, and compliance teams to strengthen our fraud prevention posture.</span></p><h2 style=\"font-family:"Basel Grotesk",Arial,sans-serif;line-height:1.6;font-size:15pt;font-weight:600;letter-spacing:0.5px;margin-top:18px;margin-bottom:4px;padding-left:0px;\"><b><strong style=\"white-space:pre-wrap;\">What you will do</strong></b></h2><ul data-pattern=\"discCircleSquare\" data-depth=\"1\" style=\"font-family:"Basel Grotesk",Arial,sans-serif;font-size:11pt;font-weight:400;margin:8px 0px;line-height:1.6;padding:0px 0px 0px 32px;list-style-type:disc;\"><li style=\"color:rgb(32,38,46);font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(32,38,46);font-size:10.5pt;white-space:pre-wrap;\">Analyze platform fraud trends and contribute to fraud risk control strategies for ATO, suspicious activity detection, and financial product access.</span></li><li style=\"color:rgb(32,38,46);font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(32,38,46);font-size:10.5pt;white-space:pre-wrap;\">Use SQL and Python to perform complex data analysis, build dashboards, and generate insights that inform risk management decisions and strategy development.</span></li><li style=\"color:rgb(32,38,46);font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(32,38,46);font-size:10.5pt;white-space:pre-wrap;\">Help design, test, and refine fraud detection rules and algorithms to identify and mitigate suspicious activities across the platform.</span></li><li style=\"color:rgb(32,38,46);font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(32,38,46);font-size:10.5pt;white-space:pre-wrap;\">Support the implementation of policies and controls that prevent unauthorized account access and adverse actions, partnering with security engineering on tracking and detection.</span></li><li style=\"color:rgb(32,38,46);font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(32,38,46);font-size:10.5pt;white-space:pre-wrap;\">Conduct data-driven investigations to uncover fraud patterns, measure control performance, and recommend optimizations to detection methodologies.</span></li><li style=\"color:rgb(32,38,46);font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(32,38,46);font-size:10.5pt;white-space:pre-wrap;\">Perform cost-benefit and impact analyses that balance fraud prevention with user experience and operational efficiency.</span></li><li style=\"color:rgb(32,38,46);font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(32,38,46);font-size:10.5pt;white-space:pre-wrap;\">Collaborate across teams — including Security, Sales, Customer Service, and Compliance — to support fraud monitoring and response workflows.</span></li><li style=\"color:rgb(32,38,46);font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(32,38,46);font-size:10.5pt;white-space:pre-wrap;\">Partner with R&D on requirements for fraud detection and investigation tooling, providing data-driven feedback to ensure they meet evolving business needs.</span></li></ul><h2 style=\"font-family:"Basel Grotesk",Arial,sans-serif;line-height:1.6;font-size:15pt;font-weight:600;letter-spacing:0.5px;margin-top:18px;margin-bottom:4px;padding-left:0px;\"><b><strong style=\"white-space:pre-wrap;\">What you will need</strong></b></h2><ul data-pattern=\"discCircleSquare\" data-depth=\"1\" style=\"font-family:"Basel Grotesk",Arial,sans-serif;font-size:11pt;font-weight:400;margin:8px 0px;line-height:1.6;padding:0px 0px 0px 32px;list-style-type:disc;\"><li style=\"color:rgb(32,38,46);font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(32,38,46);font-size:10.5pt;white-space:pre-wrap;\">4+ years of experience in fraud prevention and detection, risk analytics, or a closely related analytical role, ideally within the financial technology sector.</span></li><li style=\"color:rgb(32,38,46);font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(32,38,46);font-size:10.5pt;white-space:pre-wrap;\">Bachelor's degree in a relevant field (e.g., Mathematics, Statistics, Computer Science, Economics, or a related discipline); a Master's degree is preferred.</span></li><li style=\"color:rgb(32,38,46);font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(32,38,46);font-size:10.5pt;white-space:pre-wrap;\">Strong expertise in data analysis with demonstrated proficiency in SQL and Python for fraud detection, investigation, and strategy support.</span></li><li style=\"color:rgb(32,38,46);font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(32,38,46);font-size:10.5pt;white-space:pre-wrap;\">Solid understanding of account takeover risks, suspicious activity patterns, and fraud prevention methodologies.</span></li><li style=\"color:rgb(32,38,46);font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(32,38,46);font-size:10.5pt;white-space:pre-wrap;\">Familiarity with industry-leading tools and third-party risk vendors for fraud detection and analysis.</span></li><li style=\"color:rgb(32,38,46);font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(32,38,46);font-size:10.5pt;white-space:pre-wrap;\">Working knowledge of industry regulations and compliance requirements related to fraud risk management.</span></li><li style=\"color:rgb(32,38,46);font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(32,38,46);font-size:10.5pt;white-space:pre-wrap;\">Excellent communication skills, with the ability to translate complex data insights into clear recommendations for technical and non-technical stakeholders.</span></li><li style=\"color:rgb(32,38,46);font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(32,38,46);font-size:10.5pt;white-space:pre-wrap;\">Strong attention to detail, intellectual curiosity, and a bias toward action in ambiguous problem spaces.</span></li></ul><h2 style=\"font-family:"Basel Grotesk",Arial,sans-serif;line-height:1.6;font-size:15pt;font-weight:600;letter-spacing:0.5px;margin-top:18px;margin-bottom:4px;padding-left:0px;\"><b><strong style=\"white-space:pre-wrap;\">Additional Information</strong></b></h2><p style=\"font-family:"Basel Grotesk",Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><span style=\"white-space:pre-wrap;\">Rippling is an equal opportunity employer. We are committed to building a diverse and inclusive workforce and do not discriminate based on race, religion, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, age, sexual orientation, veteran or military status, or any other legally protected characteristics, Rippling is committed to providing reasonable accommodations for candidates with disabilities who need assistance during the hiring process. To request a reasonable accommodation, please email [email protected]</span></p><p style=\"font-family:"Basel Grotesk",Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><br></p><p style=\"font-family:"Basel Grotesk",Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><span style=\"white-space:pre-wrap;\">Rippling highly values having employees working in-office to foster a collaborative work environment and company culture. For office-based employees (employees who live within a defined radius of a Rippling office), Rippling considers working in the office, at least three days a week under current policy, to be an essential function of the employee's role. We intend to hire someone to work out of our San Francisco office.</span><br><br></p><p style=\"font-family:"Basel Grotesk",Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><span style=\"white-space:pre-wrap;\">This role will receive a competitive salary + benefits + equity. The salary for US-based employees will be aligned with one of the ranges below based on location; see which tier applies to your location</span><b><strong style=\"white-space:pre-wrap;\"> </strong></b><a href=\"https://www.rippling.com/pay-transparency\" target=\"_blank\" class=\"css-173makr-linkStyle\" style=\"color:rgb(30,74,169);cursor:pointer;\"><b><strong style=\"white-space:pre-wrap;\">here</strong></b></a><b><strong style=\"white-space:pre-wrap;\">.</strong></b></p><p style=\"font-family:"Basel Grotesk",Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><br></p><p style=\"font-family:"Basel Grotesk",Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><span style=\"white-space:pre-wrap;\">A variety of factors are considered when determining someone’s compensation–including a candidate’s professional background, experience, and location. Final offer amounts may vary from the amounts listed below.</span></p>",
"company": "<meta><h2 style=\"font-family:"Basel Grotesk",Arial,sans-serif;line-height:1.6;font-size:15pt;font-weight:600;letter-spacing:0.5px;margin-top:18px;margin-bottom:4px;padding-left:0px;\"><b><strong style=\"white-space:pre-wrap;\">About Rippling</strong></b></h2><p style=\"font-family:"Basel Grotesk",Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><span style=\"font-size:11pt;white-space:pre-wrap;\">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.</span></p><p style=\"font-family:"Basel Grotesk",Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><br></p><p style=\"font-family:"Basel Grotesk",Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><span style=\"font-size:11pt;white-space:pre-wrap;\">Take onboarding, for 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.</span></p><p style=\"font-family:"Basel Grotesk",Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><br></p><p style=\"font-family:"Basel Grotesk",Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><span style=\"font-size:11pt;white-space:pre-wrap;\">Based in San Francisco, CA, </span><a href=\"https://www.rippling.com/careers#:~:text=GLOBAL%20EMPLOYEES-,%241.4B%2B,-RAISED%20TO%20DATE\" target=\"_blank\" class=\"css-173makr-linkStyle\" style=\"color:rgb(30,74,169);cursor:pointer;\"><span style=\"font-size:11pt;white-space:pre-wrap;\">Rippling has raised $1.4B+</span></a><span style=\"font-size:11pt;white-space:pre-wrap;\"> 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.</span></p><p style=\"font-family:"Basel Grotesk",Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><br></p><p style=\"font-family:"Basel Grotesk",Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><span style=\"font-size:11pt;white-space:pre-wrap;\">We prioritize candidate safety. Please be aware that all official communication will only be sent from @</span><a href=\"http://www.Rippling.com\" target=\"_blank\" class=\"css-173makr-linkStyle\" style=\"color:rgb(30,74,169);cursor:pointer;\"><span style=\"font-size:11pt;white-space:pre-wrap;\">Rippling.com</span></a><span style=\"font-size:11pt;white-space:pre-wrap;\"> addresses.</span></p>"
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