Description: What do you need to know to be part of Topaz? * Must be studying or graduated in Computer Science, Information Security, Information Technology, or related fields; * Knowledge of TCP/IP networks, network services (such as HTTP, DNS, SMTP), operation of operating systems (such as Windows, Android, iOS), and Web and Mobile applications; * Basic knowledge of SQL and NoSQL database queries; * Ability to analyze data (descriptive, predictive, prescriptive, diagnostic); * Basic coding skills in one or more programming languages (preferably Python, but Java, Javascript, C\+\+, C\# are also valid). Not mandatory, but a plus: * Experience with the Pandas library; * Knowledge or experience in fraud prevention and threat intelligence; * Experience with anti-fraud rules and anti-money laundering (AML); * Basic knowledge of Threat Intelligence, Threat Hunting, and Digital Forensics tools and techniques; * Understanding of data privacy laws and regulations (LGPD, GDPR, etc); * Knowledge of major cyberattacks related to fraud (phishing, man\-in\-the\-middle, malware, brute force, session hijacking, etc); * General understanding of artificial intelligence and its applications, and familiarity with Large Language Model (LLM) tools and AI agents. What is Topaz OFD? We are a reference in fraud prevention and information security. Our mission is to elevate our clients' security maturity level, making applications better protected against digital crimes. We work directly to transform the security landscape in Brazil. If you enjoy investigation, ethical hacking, and solving complex problems, this is your place! We use creativity and technical expertise to develop solutions that truly protect our clients from risks and have a positive impact on society by preventing crime financing. What we do: Here, routine means challenge: you will be part of a multidisciplinary team responsible for the digital security of millions of transactions. We monitor, in real time, suspicious events and threats detected by our products (Desktop, Mobile, Browser, Transactional, AML), analyzing vast amounts of data to identify unusual patterns, fraud, and anomalous activities. Furthermore: * We create, review, and improve business rules for our anti-fraud and anti\-money laundering solutions. * We investigate incidents, analyze logs, perform reverse engineering, and automate alerts. * We apply Threat Intelligence, Behavioral Analysis, Threat Hunting, and Digital Forensics techniques. * We work closely with Data Science, Development, Product, and Customer Experience teams, always applying innovation. Our tech stack and technical challenges We develop, evolve, and support our own solutions * Proprietary SDK (Android/iOS); * Endpoint agent (MacOS, Windows, Linux); * Web agent (Javascript); * Risk engines powered by artificial intelligence and advanced Analytics. Your day-to-day at Topaz: * Monitor and analyze threats and fraud in real time; * Configure, adjust, and test anti-fraud and AML rules, from development cycle to production; * Investigate suspicious events, analyze data and logs, support forensic analyses, and present your technical findings to the team and clients; * Participate in the continuous evolution of solutions, suggesting improvements based on risk and constantly learning from market trends; * Prepare investigative reports and correlate data for agile decision-making; * Enhance your knowledge of LLM tools and AI agents; we are working hard to implement agents and fully leverage LLMs (Large Language Models) in our anti-fraud solutions, focusing on automation, efficiency, and new forms of digital analysis and investigation. 251026020222363915