We are looking for a highly analytical and proactive Financial Fraud Analyst to join our team. In this role, you will be the gatekeeper of our payments ecosystem, responsible for balancing robust fraud prevention with a frictionless checkout experience for legitimate users. You will act as the subject matter expert on payment risk, driving strategies that optimize our transaction approval rates while keeping bad actors at bay.
Responsibilities- Continuously evaluate and adjust payment risk levels and fraud rules across our billing platforms to maximize legitimate transaction approvals while minimizing chargebacks and fraudulent activity.
- Champion and implement best practices for frictionless payment flows, ensuring genuine customers experience a smooth, hassle-free onboarding and purchasing journey.
- Monitor day-to-day payment flows, investigate failed transactions, identify patterns of abuse, and resolve complex payment escalations in real-time.
- Partner closely with the Product, RnD, and Compliance teams to design secure payment features, integrate new payment methods, and ensure alignment with global financial regulations (e.g., PSD2, SCA, KYC).
- Conduct ongoing research on global payment trends, fraud vectors, and B2B SaaS industry benchmarks to keep Bright Data’s payment strategies ahead of the curve.
- Build and maintain dashboards to track key payment metrics (approval rates, chargeback ratios, false positives) and present actionable insights to senior leadership.
- 2-4 years of experience as a Fraud Analyst, Payments Analyst, or Financial Risk Investigator within a global B2B/B2C SaaS, e-commerce, or fintech environment.
- Hands-on experience working with major payment gateways and fraud prevention tools (e.g., Stripe, PayPal, Adyen, Riskified, Sift).
- Strong analytical skills with proficiency in MongoDB, Excel/Google Sheets. Experience with BI tools (e.g., Tableau) is a significant advantage.
- Deep understanding of the global payments ecosystem, including online abuse vectors (i.e: phishing, account takeover, bot signups, AI. etc.). credit card processing, alternative payment methods, chargeback life cycles, and 3D Secure protocols.
- Excellent written and verbal English skills.
Skills Required
- 2-4 years experience as a Fraud Analyst, Payments Analyst, or Financial Risk Investigator in global B2B/B2C SaaS, e-commerce, or fintech.
- Hands-on experience with major payment gateways and fraud prevention tools (Stripe, PayPal, Adyen, Riskified, Sift).
- Proficiency with MongoDB and Excel or Google Sheets for analysis.
- Deep understanding of the global payments ecosystem, online abuse vectors, credit card processing, alternative payments, chargeback lifecycles, and 3D Secure protocols.
- Experience with BI tools (e.g., Tableau).
- Excellent written and verbal English communication skills.
What We Do
Bright Data is the world’s #1 web data platform, supporting the public data needs of over 20,000 organizations in nearly every industry. Our solutions are leveraged to fuel AI as well as research, monitor, and analyze web data for smarter decisions. Bright Data offers a complete web data platform, from award-winning proxy networks and AI-powered web scraping tools, to dynamically refreshed datasets, an unparalleled retail and e-commerce data intelligence suite, and fully managed data services. Making public web data accessible is essential to keeping markets openly competitive and providing different data types to power LLMs. As an industry leader, we are committed to defending public web data. Bright Data has proven that ethical and transparent scraping practices for legitimate business use and social good initiatives are legally sound. We are very proud to lead innovation in web data, with +5,500 granted patent claims.
