Role Description We are seeking a highly skilled and analytical AML Analyst with experience in Anti-Money Laundering (AML) and Counter-Terrorism Financing (CTF) operations. The ideal candidate will be adept at data analysis, with a strong background in financial services, preferably fintech. What You'll Be Doing - AML Policies and Procedures Oversight: - Develop, update, and continuously enhance internal AML policies and procedures, aligning them with current regulations in both Brazil and the United States (Bank Secrecy Act – BSA, USA PATRIOT Act, OFAC, FinCEN), as well as relevant international standards. - Coordinate Know Your Customer (KYC), Know Your Employee (KYE), and Know Your Supplier (KYS) initiatives, ensuring process standardization and data quality. - Transaction Monitoring and Investigation: - Conduct ongoing monitoring of financial transactions to identify potential indicators of money laundering, fraud, or terrorist financing, following the requirements of regulatory bodies such as COAF (Brazil) and FinCEN (U.S.). - Utilize advanced tools and methodologies (including machine learning and data analysis solutions) to detect anomalies, conduct thorough investigations, and ensure consistent reporting of suspicious activity reports (SARs). - Risk Analysis and Compliance: - Assess risks related to new products and services, ensuring that workflows and processes comply with local and international regulatory requirements. - Implement and continuously improve internal controls to minimize exposure to money laundering or illicit financing risks, considering the specifics of U.S. (BSA, Patriot Act) and Brazilian (Law No. 9.613/98 and Central Bank regulations) laws. - Regulatory Engagement: - Act as the primary point of contact for communications and reports directed to regulatory authorities such as COAF (Brazil) and FinCEN (U.S.). - Ensure compliance with all regulatory obligations, including periodic reporting, proper record-keeping, and readiness for audits and inspections in both Brazil and the United States. - Training and Capacity Building: - Develop training materials and conduct workshops for internal teams, promoting continuous awareness and education on AML/CTF, considering best practices and regulatory requirements in the U.S. - Keep the team updated on new regulations, financial crime trends, and industry best practices (e.g., AI usage, risk-based monitoring, etc.). - Multidisciplinary Collaboration: - Work closely with Legal, Internal Audit, Operations, Technology, Product, and Commercial teams, ensuring AML solutions are effective and integrated into each department’s processes. - Strategic Alignment: - Maintain constant communication to anticipate potential risks or regulatory adjustments, strengthening the compliance culture across the organization. - Effectiveness and Synergy: - Ensure that policies, procedures, and monitoring solutions are tailored to each department’s reality, optimizing irregularity detection and enhancing operational efficiency. - Growth Strategy and Continuous Improvement: - Lead initiatives to enhance AML processes, incorporating feedback and new technologies (including AI solutions) to improve efficiency and accuracy in detecting suspicious behaviors. - Collaborate with business teams to ensure that expansion and product launch strategies consider compliance requirements, risk management, and specific regulations of the U.S. market. Qualifications - Strong experience in managing and analyzing large volumes of data from diverse sources. - Familiarity with SQL and Python is highly valued. - Solid background in AML/CTF operations, with specific experience in Monitoring, KYC/CDD, KYE, and KYP practices within the fintech sector or related industries. - Fluent in English with exceptional written and verbal communication skills. - Excellent analytical and problem-solving abilities, attentive to detail and the capacity to work under pressure. - Fundamental understanding of prompt engineering, showcasing an ability to effectively interact with and utilize AI technologies. Nice-to-Have - Familiarity with compliance laws and standards from the U.S. or other relevant markets (e.g., FCPA, EU AML Directives). - Experience optimizing and automating AML routines using scripts or data analysis tools. - Experience with BI solutions (Looker, Power BI, Tableau, Metabase) for creating dashboards and compliance reports. - Hands-on experience with AI tools (e.g., ChatGPT) and machine learning algorithms to enhance the detection of suspicious behaviors and support decision-making. The Future We See - People teams leveraging AI to transform talent acquisition and employee development. - Marketing professionals creating data-driven, AI-powered campaign strategies. - Customer Success teams enhancing client experiences with intelligent solutions. - Risk analysts combining human expertise with AI to navigate complexities. - Designers collaborating with AI to push creative boundaries. Join us at CloudWalk, where we’re not just engineering solutions; we’re building a smarter, AI-driven future for payments—together.

• Provide technical assistance to computer users • Answer questions or resolve computer problems for clients • Perform a variety of clerical and administrative duties pertaining to remote assistance • Reply to trouble tickets to resolve user problems • Provide expert technical assistance through phone, email, and instant message

• Respond to day-to-day requests from internal teams for AI assistance, including prompt design, workflow support, and tool guidance • Assist in building and refining AI-powered workflows using enterprise platforms (e.g., Microsoft Copilot, Claude, ChatGPT, or similar) • Develop, test, and iterate on prompts and system instructions for use cases across business functions including Legal, Finance, Marketing, Operations, HR, and IT • Evaluate AI outputs for quality, accuracy, and alignment with business intent; flag issues and escalate as needed • Support the integration of AI tooling into existing enterprise processes in collaboration with senior team members • Assist with one-on-one and small group training sessions to help employees get started with AI tools and best practices • Help create and maintain internal educational materials including guides, FAQs, and use case examples • Serve as a friendly first point of contact for basic AI-related questions from colleagues • Help identify patterns in common requests and contribute to the development of scalable resources • Follow and help communicate the organization's AI governance frameworks, usage policies, and ethical guidelines • Assist in reviewing AI use cases for basic risk considerations including data privacy and appropriate use • Support documentation of workflows and decisions to maintain accurate records • Stay current on AI tools, trends, and responsible use practices; share learnings with the team

• To design, implement, and monitor data-driven systems and dashboards that give founders clear visibility into business performance. • Build founder-level dashboards (weekly & monthly) and define KPIs across all departments. • Track conversion at each stage of the business funnel and identify drop-offs. • Design marketing, sales, design team, execution, finance, and customer experience dashboards with specific goals for each. • Define SOPs for lead handling, sales process, design approvals, and execution tracking.