Senior Fraud Risk Data Analyst
Rippling · Bengaluru, Karnataka, India
- On site
- Full-time
- $140,000 / year
- Bengaluru, Karnataka, India
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Job highlights
- Safeguard financial integrity by mitigating fraud risks.
- Develop fraud detection and risk mitigation strategies.
- Analyze transaction data and identify fraud patterns.
- Collaborate with cross-functional teams on solutions.
- Drive impactful results in a dynamic environment.
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 $1.8B+ 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 a Senior Fraud Risk Data Analyst at Rippling, you will play a key role in safeguarding the financial integrity of our clients by identifying and mitigating fraud risks across our suite of financial products. You will be responsible for developing and enhancing fraud detection and risk mitigation strategies, with a focus on transaction fraud monitoring, account takeover (ATO) prevention, and fraud incident investigation, all while ensuring that decisions are based on robust analytics and large-scale data sets. Using data-driven insights, you will analyze transaction data, identify emerging fraud patterns, and collaborate with cross-functional teams including data science, security, compliance, product, and engineering to implement effective solutions. This is an excellent opportunity to leverage your expertise in data analytics and fraud prevention to drive strategic and impactful results, and grow your career in a fast-paced, dynamic environment.
What You Will Do
- Design and maintain fraud transaction monitoring rules based on comprehensive data analysis for Payroll, Bill Pay, and Card transactions, continuously refining them to address emerging fraud risks and improve detection capabilities.
- Improve policies and controls to prevent unauthorized access to accounts.
- Collaborate with the Security team to develop ATO tracking, analyze customer events, and establish detection rules to prevent fraud and account takeovers.
- Evaluate and enhance fraud detection strategies based on data drive insights, balancing the need for robust fraud prevention with the goal of maintaining a seamless user experience and operational efficiency.
- Identify suspicious activities and fraud patterns, and perform thorough investigations on high-risk transactions when necessary.
- Leverage data analysis and fraud detection tools to make informed decisions.
- Regularly assess fraud risks across various financial transactions, recommending and implementing strategies to minimize risk and improve fraud prevention effectiveness.
- Work closely with the Fraud, Security, Sales, Customer Service, and Compliance teams to improve fraud monitoring and response processes, and promote a collaborative approach to fraud risk management.
- Partner with cross functional teams to design and refine fraud detection tools and investigative systems, improving the efficiency and effectiveness of fraud mitigation efforts.
- Monitor and review high-risk transactions on a daily basis across Payroll, Bill Pay, and Corporate Card products to identify suspicious activity.
- Take prompt action to mitigate fraud risks and escalate issues as needed to minimize exposure and impact.
What You Will Need
- 4+ years experience in fraud prevention and detection, preferably in the financial technology sector, with a strong focus on payments, lending, and SaaS industries
- Bachelor's degree in a relevant field (e.g. Math, Statistics, Operations Research), Master's degree preferred
- Strong SQL skills with the ability to write complex queries to analyze large datasets, identify trends, and generate fraud-related reports. Experience with SQL-based tools (e.g., MySQL, PostgreSQL, or similar databases) is essential.
- Strong data analysis capabilities, with the ability to make data-driven fraud risk decisions.
- In-depth understanding of payments risks and funds flows, specifically within ACH and bank transfer fraud, account takeovers, wallet and corporate card transaction fraud.
- Familiarity with the fraud investigation tools and industry-leading third-party risk vendors. Experience with fraud detection tools and methodologies is essential.
- Effective communication and presentation skills, capable of articulating complex data and risk insights to various stakeholders.
Key skills/competency
- Fraud Prevention
- Data Analysis
- SQL
- Risk Mitigation Call Takeover (ATO)
- Financial Technology
- Payments
- Transaction Monitoring
- Risk Management
- Data-driven Insights
Skills & topics
- Senior Fraud Risk Data Analyst
- Fraud Prevention
- Data Analysis
- SQL
- Risk Mitigation
- Account Takeover (ATO)
- Financial Technology
- Payments
- Transaction Monitoring
- Risk Management
- Data-driven Insights
- Finance
- SaaS
- Analyst
- Senior
- Data
- Risk
- Fraud
How to get hired
- Tailor your resume: Highlight your 4+ years of fraud prevention experience, SQL proficiency, and understanding of payment risks.
- Showcase your skills: Emphasize your data analysis capabilities and experience with fraud detection tools in your application.
- Prepare for interviews: Be ready to discuss specific fraud scenarios and your data-driven approach to risk mitigation.
- Research Rippling: Understand their mission and how your role contributes to protecting their clients.
Technical preparation
Behavioral questions
Frequently asked questions
- What specific fraud risks will I focus on as a Senior Fraud Risk Data Analyst at Rippling?
- As a Senior Fraud Risk Data Analyst at Rippling, you will focus on transaction fraud monitoring, account takeover (ATO) prevention, and investigating fraud incidents across various financial products like Payroll, Bill Pay, and Corporate Card transactions.
- What technical skills are most important for this Senior Fraud Risk Data Analyst role at Rippling?
- Strong SQL skills for complex query writing and large dataset analysis are essential. You'll also need robust data analysis capabilities, familiarity with fraud detection tools, and an understanding of payments risks and funds flows.
- What kind of educational background is preferred for the Senior Fraud Risk Data Analyst position at Rippling?
- Rippling prefers a Bachelor's degree in a relevant field such as Math, Statistics, or Operations Research. A Master's degree is considered a plus for this role.
- How does Rippling ensure candidate safety during the application process?
- Rippling prioritizes candidate safety by ensuring all official communication is sent exclusively from @Rippling.com email addresses. Be vigilant against any communications from different domains.
- What is Rippling's approach to maintaining a seamless user experience while preventing fraud?
- Rippling aims to balance robust fraud prevention with a seamless user experience by evaluating and enhancing fraud detection strategies based on data-driven insights to ensure operational efficiency.
- What does collaboration look like for a Senior Fraud Risk Data Analyst at Rippling?
- You will collaborate closely with cross-functional teams including Data Science, Security, Compliance, Product, Engineering, Sales, and Customer Service to implement solutions, refine tools, and improve overall fraud risk management processes.
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