Fraud Patterns Analyst

🕒 Maio 26

🇺🇸 Estados Unidos – Remoto (EUA)

⏰ Tempo Integral

🟡 Pleno

🟠 Sênior

🧐 Analista

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Stripe

SiteLinkedInTodas as Vagas

1001 - 5000 funcionários

Fundada em 2010

💳 Fintech

🛍️ Comércio Eletrônico

🤝 B2B

💰 Venture Round em 2021-05

Fintech • eCommerce • B2B

A Stripe é uma plataforma de infraestrutura financeira para empresas. Milhões de empresas—desde as maiores corporações do mundo até as startups mais ambiciosas—usam a Stripe para aceitar pagamentos, aumentar sua receita e acelerar novas oportunidades de negócios. Com sedes em São Francisco e Dublin, a empresa visa aumentar o PIB da internet.

Descrição

• 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.

🎯 Requisitos

• 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.

🏖️ Benefícios

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