
Senior Fraud Strategy Data Analyst
Rippling · San Francisco, CA
- On site
- Full-time
- $168,000 / year
- San Francisco, CA
Job highlights
- Analyze fraud risk and develop mitigation strategies.
- Utilize SQL and Python for complex data analysis.
- Design and refine fraud detection algorithms.
- Collaborate with cross-functional teams on fraud prevention.
- Conduct data-driven investigations for fraud patterns.
About the role
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.
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 accommodations@rippling.com
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.
The pay range for this role is:
100,800 - 168,000 USD per year(US Tier 1)
Key skills/competency
- Senior Fraud Strategy Data Analyst
- Fraud Prevention
- Risk Analytics
- SQL
- Python
- Account Takeover (ATO)
- Suspicious Activity Detection
- Fraud Detection Rules
- Data Analysis
- Risk Management
Skills & topics
- Senior Fraud Strategy Data Analyst
- Fraud Prevention
- Risk Analytics
- Data Analysis
- SQL
- Python
- Account Takeover
- Suspicious Activity Detection
- Financial Technology
- Risk Management
How to get hired
- Tailor your resume: Highlight your 4+ years of fraud prevention, risk analytics, SQL, and Python experience.
- Showcase your skills: Emphasize your understanding of ATO, suspicious activity, and fraud methodologies.
- Quantify achievements: Provide examples of how you've reduced fraud and improved user experience.
- Prepare for interviews: Be ready to discuss your analytical approach and problem-solving in fraud scenarios.
- Research Rippling: Understand their mission and how fraud prevention supports their business goals.
Technical preparation
Behavioral questions
Frequently asked questions
- What specific fraud risks does the Senior Fraud Strategy Data Analyst role at Rippling focus on?
- The Senior Fraud Strategy Data Analyst at Rippling will focus on analyzing and mitigating account takeover (ATO) fraud, suspicious activity detection, and fraud risk controls related to product access and adverse actions across the platform.
- What are the essential technical skills required for this Senior Fraud Strategy Data Analyst position at Rippling?
- Rippling requires strong expertise in data analysis, with demonstrated proficiency in SQL and Python for fraud detection, investigation, and strategy support. A solid understanding of fraud prevention methodologies and tools is also crucial.
- Does Rippling offer remote work for the Senior Fraud Strategy Data Analyst role?
- Rippling highly values in-office collaboration. This specific Senior Fraud Strategy Data Analyst role is intended to be based in their San Francisco office, with an expectation of working in-office at least three days a week.
- What kind of educational background does Rippling prefer for their Senior Fraud Strategy Data Analysts?
- Rippling prefers candidates with a Bachelor's degree in a relevant field such as Mathematics, Statistics, Computer Science, or Economics. A Master's degree in a related discipline is considered a plus for this role.
- How does Rippling ensure candidate safety during the application process for the Senior Fraud Strategy Data Analyst role?
- Rippling prioritizes candidate safety. All official communications regarding the Senior Fraud Strategy Data Analyst position will exclusively come from @Rippling.com email addresses.
- What is the expected experience level for the Senior Fraud Strategy Data Analyst role at Rippling?
- Rippling is seeking a Senior Fraud Strategy Data Analyst with at least 4 years of experience in fraud prevention and detection, risk analytics, or a similar analytical role, ideally within the financial technology sector.
- How does Rippling approach compensation for the Senior Fraud Strategy Data Analyst position?
- The Senior Fraud Strategy Data Analyst role at Rippling offers a competitive salary, benefits, and equity. For US-based employees, the annual salary range is between $100,800 and $168,000, with final offers varying based on factors like experience and location.
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