Fraud Patterns Analyst

🕒 il y a 26 jours

🇺🇸 États-Unis – Télétravail

⏰ Temps Plein

🟡 Intermédiaire

🟠 Senior

🧐 Analyste

🦅 Parrain de Visa H1B

Cette entreprise a parrainé des visas H1B par le passé.

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Stripe

Site WebLinkedInTous les Emplois

1001 - 5000 employés

Fondée en 2010

💳 Fintech

🛍️ eCommerce

🤝 B2B

💰 Venture Round en 2021-05

Fintech • eCommerce • B2B

Stripe est une plateforme d'infrastructure financière pour les entreprises. Des millions d'entreprises - des plus grandes entreprises mondiales aux startups les plus ambitieuses - utilisent Stripe pour accepter les paiements, accroître leur chiffre d'affaires et accélérer de nouvelles opportunités commerciales. Basée à San Francisco et à Dublin, la société vise à augmenter le PIB de l'internet.

Description

• 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.

🎯 Exigences

• 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.

🏖️ Avantages

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