Fraud Patterns Analyst

🕒 vor 3 Monaten

🇺🇸 Vereinigte Staaten – Remote

⏰ Vollzeit

🟡 Mittelstufe

🟠 Senior

🧐 Analyst

🦅 H1B-Visum-Sponsor

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👻 Geisterscore 24%

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🗣️🇺🇸🇬🇧 Englisch erforderlich

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Logo of Stripe

Stripe

1001 - 5000 Mitarbeiter

Gegründet 2010

💳 Fintech

🛍️ eCommerce

🤝 B2B

💰 Venture Round im 2021-05

Fintech • eCommerce • B2B

Stripe ist eine Finanzinfrastrukturplattform für Unternehmen. Millionen von Unternehmen – von den größten Konzernen der Welt bis hin zu den ehrgeizigsten Start-ups – nutzen Stripe, um Zahlungen zu akzeptieren, ihre Einnahmen zu steigern und neue Geschäftsmöglichkeiten zu beschleunigen. Die Zentrale des Unternehmens befindet sich in San Francisco und Dublin, mit dem Ziel, das BIP des Internets zu erhöhen.

Beschreibung

• Build and maintain fraud rulesets to prevent transaction level fraud losses, including ongoing monitoring and measurements of precision and recall. • Conduct advanced data analysis of structured and unstructured data sets to proactively identify emerging fraud attacks impacting Stripe and its users. • Collaborate closely with product, risk, and operations teams to proactively identify and mitigate fraud exposure. • Investigate, conduct root cause analysis, and deploy remediations to prevent future complex and distributed fraud attacks. • Investigate and take action against anomalous clusters of transactions based on account activity, processing volume, or other risk indicators while minimizing negative impacts to Stripe users. • Respond to incidents involving complex fraud schemes to quickly mitigate exposure to Stripe, its users, and financial partners. • Utilize analytics to identify & implement initiatives to automate manual processes and workload across the organization. • Create visualizations, dashboards, and queries to drive visibility and oversight into impact, performance, loss risks, and user experience. • Utilize Stripe tools & systems to enable systematic actioning of fraudulent merchants, maintaining an extremely high level of accuracy to prevent negative user experience.

🎯 Anforderungen

• A minimum of five years of experience conducting advanced data analysis & managing transaction fraud rulesets. • Advanced level proficiency in SQL. • Experience working closely with modeling, data science, and intelligence stakeholders to implement automatic & scaled controls & processes. • Experience creating data visualizations and dashboards & presenting findings to technical and non-technical audiences, including senior leadership. • The ability to drive execution on projects working in a heavily cross-functional environment. • Creativity, a team-focused mentality, and effective problem solving skills. • The ability and desire to question the status quo. • The ability to approach challenges from a user perspective while being pragmatic & solutions oriented.

🏖️ Vorteile

• health insurance • retirement plans • paid time off • flexible work arrangements • professional development

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