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Greenhouse
Payments Performance & Optimization Specialist
Ebanx · Mexico City
Publicada em 24/06/2026
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p EBANX is one of the most successful fintechs to emerge from Latin America — and today, we are building a truly global payments company. Our mission has remained constant from day one: to unlock access and enable companies and consumers to participate in the digital economy, no matter where they are. br br What started as a bold vision has grown into a platform that connects some of the world’s largest digital businesses with customers across 21 of the fastest-growing markets. We operate where complexity exists — turning local challenges into global opportunities, and building the infrastructure that allows payments to move further, faster, and smarter. br br nbsp;As EBANX enters its next phase of hyper growth, we are looking for people who want to shape the future of payments, expand what’s possible, and help connect businesses and consumers across borders. br Let’s build what’s next — together. /p p Own and drive the operational excellence of EBANX’s payment processing ecosystem in Mexico. In this role, you will combine strong analytical thinking, technical expertise, and data-driven decision-making to ensure our payment operations are not only stable, but a true competitive advantage. br You will act as a key technical and analytical reference, leveraging data, automation, and advanced analytics to continuously improve performance, optimize payment flows, and enhance the merchant experience. /p p class= p1 nbsp; /p p nbsp; /p div strong What your day-to-day will look like /strong br br strong • Operational amp; Performance Ownership /strong br Own the end-to-end operational health of key payment partners in Mexico, focusing on Cards and Alternative Payment Methods. Monitor and analyze KPIs such as approval rates, latency, transaction quality, settlement accuracy, and partner performance. br strong • Technical amp; Analytical Point of Contact /strong br Act as the main interface between EBANX and partner technical teams, supporting integrations, troubleshooting, and performance optimization with a strong technical and data-oriented mindset. br strong • Data-Driven Optimization /strong br Analyze large datasets to identify trends, anomalies, and optimization opportunities. Propose and implement improvements in payment flows, routing logic, retries, and operational processes to increase approval rates and efficiency. br strong • Advanced Analytics amp; AI (Plus) /strong br Apply (or support the application of) advanced analytics, automation, or AI-driven approaches to improve payment performance, anomaly detection, fraud signals, and operational efficiency. br strong • Partner Performance amp; Continuous Improvement /strong br Lead Root Cause Analysis (RCA) processes with partners and internal teams, ensuring structured follow-ups and implementation of preventive actions based on data insights. br strong • KPI Ownership amp; Data Visualization /strong br Define, track, and own key operational KPIs. Work closely with Data teams to build dashboards, automate reporting, and deliver clear data visualizations to support decision-making. br strong • Strategic Insights amp; Business Intelligence /strong br Translate operational and performance data into actionable insights for Product, Finance, Country Growth, and Commercial teams, influencing strategy, pricing, and partner decisions. br strong • BEAT Report amp; Executive Communication /strong br Lead the creation and presentation of the BEAT (Benchmark, Evaluation, Action, Tracking) report, providing senior leadership with a clear, data-backed view of operational performance and improvement plans. br strong • Product amp; Payment Optimization Support /strong br Act as a subject matter expert for new payment methods, features, and partner initiatives in Mexico, assessing technical feasibility, operational impact, and scalability while supporting local growth objectives. /div div nbsp; /div div br br strong Must-haves to shine in this role /strong /div ul li Strong experience in pay
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