Chargeback Analyst

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CloudWalk, Inc.

WebsiteLinkedInAll Job Openings

201 - 500 employees

💳 Fintech

🤖 Artificial Intelligence

💰 $150M Series C on 2021-11

Fintech • Blockchain • Artificial Intelligence

CloudWalk, Inc. is focused on revolutionizing the payments industry by democratizing financial services and empowering entrepreneurs through innovative solutions. Their mission is to create a fair and technologically advanced payment network on Earth and beyond. Utilizing AI and blockchain, CloudWalk offers products such as InfinitePay, a financial platform serving businesses in Brazil, and JIM, an instant payment system in the US. Stratus, their high-performance blockchain, supports global payment networks. CloudWalk emphasizes customer engagement and disruptive economic models to transform how merchants sell and profit.

📋 Description

• Analyze disputes and chargeback workflows to determine the appropriate action • Conduct end-to-end investigations: transaction timeline, evidence, money flow, and root cause analysis • Build and review representment/defense cases — clear, well-documented, and win-focused • Analyze data to identify patterns, fraud signals, and process gaps worth addressing • Use (and help improve) our AI and automation tools to resolve disputes faster and more intelligently • Collaborate with teams across CloudWalk (Risk, Compliance, Product, Data, Engineering)

🎯 Requirements

• Comfortable using LLMs and AI tools in your daily work — and curious about agent frameworks (LangChain, Mastra, etc.) • Some coding/scripting familiarity (reading code, SQL, light automation) — you don’t need to be an engineer • Strong analytical thinking and curiosity ("why did this happen?" is your default mode) • Problem-solver mindset and a strong desire to learn (new challenges daily) • Attention to detail and the ability to prioritize a busy queue • Excellent writing for case summaries, dispute defenses, and Slack updates • Clear communication in threads, huddles, and DMs • Ownership mindset — you identify what’s broken, propose better approaches, and drive decisions, not just execute • High integrity and discretion with sensitive financial data