Description: What do you need to know to be part of Topaz? * Monitor and analyze threats and frauds in real time, with strategic vision for large-scale risk mitigation; * Design, configure, adjust, and test antifraud and AML rules throughout the development cycle to production, focusing on efficiency and compliance; * Conduct investigations into suspicious events, perform advanced analysis, data correlation, and deliver executive reports to internal stakeholders and clients; * Participate in the continuous evolution of solutions, proposing improvements based on risks, market trends, and innovations in AI; * Prepare strategic investigative reports and correlate data to enable agile executive-level decision-making; * Advance and apply knowledge in LLM tools and AI agents, leading implementations for automation, efficiency, and new forms of digital antifraud analysis and investigation. Specific Knowledge: * Completed bachelor's degree in Computer Science, Information Security, Information Technology, or related fields; postgraduate studies or advanced certifications (e.g., CISSP, CEH, GIAC) are a plus; * Proven experience in fraud prevention or related areas, with involvement and performance in complex projects; * Coding skills in one or more programming languages (preferably Python, but also Java, Javascript, C++, C#), with emphasis on process automation; * Solid experience in SQL and NoSQL database queries for data correlation; * Expertise in data analysis (descriptive, predictive, prescriptive, diagnostic), applied in real-world fraud prevention scenarios; * Solid understanding of TCP/IP networks, network services (such as HTTP, DNS, SMTP), operating systems (Windows, Android, iOS), and Web and Mobile applications; * Mastery of major cyberattacks related to fraud (phishing, man-in-the-middle, malware, brute force, session hijacking, etc.), with practical case experience in defense operations. Not mandatory, but a plus: * Experience working with Threat Intelligence, Threat Hunting, or Digital Forensics teams; * Proficiency with libraries such as Pandas or similar for data analysis; * In-depth knowledge of data privacy laws and regulations (LGPD, GDPR, etc.); * Practical experience with artificial intelligence, Language Models (LLM), and AI agents, including implementation in production environments. Your day-to-day at Topaz: Here, routine means leadership and innovation: you will be a reference within a multidisciplinary team responsible for the digital security of millions of transactions, managing high-impact strategies and decisions. We monitor, in real time, suspicious transactions and threats detected by our products (Desktop, Mobile, Browser, Transactional, AML), analyzing vast amounts of data to identify unusual patterns, frauds, and anomalous activities, with focus on optimization and scalability. Responsibilities: * Be the reference in creating, reviewing, and enhancing advanced business rules for our antifraud and anti-money laundering solutions, also influencing the product roadmap. * Conduct investigations into complex incidents, log analysis, and alert automation, with emphasis on high-criticality scenarios. * Strategically collaborate with Data Science, Development, Product, and Customer Experience teams, driving innovations and cross-functional integrations. * Contribute to the design and evolution of architecture, anticipating threats, scams, emerging frauds, and implementing global best practices. Our Tech Stack and Technical Challenges: We develop, evolve, and support our own cutting-edge solutions: * Proprietary SDK (Android/iOS); * Endpoint agent (MacOS, Windows, Linux); * Web agent (Javascript); * Risk engines powered by artificial intelligence and advanced Analytics. You will face challenges such as optimizing analyses for scalability, integrating LLMs (Large Language Models) into antifraud workflows, and driving the adoption of emerging technologies.x 2511130202461865485