Fraud Analyst

hace 3 días

Argentina Jobgether A tiempo completo
This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Fraud Analyst in Argentina. This role offers the opportunity to take full ownership of fraud detection and prevention within a fast-growing, data-driven environment. You will analyze large datasets, identify fraud patterns, and design risk logic to protect users and optimize transactions. The position combines strategic thinking with hands-on execution, allowing you to shape verification strategies, optimize authentication flows, and improve approval rates while maintaining a seamless user experience. You will collaborate closely with product, payments, data, and engineering teams, gaining exposure to multiple markets and complex payment systems. The ideal candidate thrives on autonomy, accountability, and leveraging data to drive actionable outcomes. This role provides a chance to make a tangible impact on a global, high-volume marketplace. Accountabilities:
  • Take ownership of fraud detection and prevention for assigned products
  • Analyze large datasets using SQL to identify patterns, anomalies, and emerging attack vectors
  • Design, implement, and optimize dynamic fraud risk rules to scale with business growth
  • Monitor and improve False Positive Rates, balancing security and user experience
  • Manage 3DS decisioning and authentication strategies across multiple regions
  • Track and report fraud trends, providing data-driven insights and recommendations
  • Collaborate with Product, Payments, Data, and Engineering teams to enhance fraud prevention systems
  • Maintain fraud detection workflows, alerts, and decision logic used by the team
Requirements:Proven experience in fraud analysis, payments risk, or risk management with clear ownership over resultsStrong SQL skills and hands-on experience with large datasets (mandatory)Experience creating and maintaining dynamic fraud risk rulesKnowledge of 3DS and regional authentication strategiesAbility to manage False Positive Rates and approval rates effectivelySolid understanding of fraud patterns, user behavior, and payment-related risksStrong problem-solving, critical thinking, and data-backed decision-making skillsFull professional proficiency in EnglishNice-to-Haves: Python experience, familiarity with fintech/payment tools (e.g., Adyen, Stripe Radar, Sift, Forter), experience in multi-market international environments, and knowledge of PSD2/SCA concepts Benefits:Competitive salary range (€37,200 - €42,780, depending on experience)Employee Stock Options programPerformance-based bonuses, referral bonuses, and additional paid leavePersonal learning and professional development budgetPaid volunteering opportunitiesFlexible work location: office, remote, or hybrid, with opportunities to travelClear growth and promotion processes with structured feedback Why Apply Through Jobgether? We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best  Why Apply Through Jobgether? 
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

#LI-CL1 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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