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Job Summary: A digital security professional responsible for monitoring and analyzing threats, investigating incidents, and enhancing antifraud and anti-money laundering (AML) solutions. Key Highlights: 1. Expertise in fraud prevention and information security. 2. Experience in investigation, ethical hacking, and solving complex problems. 3. Application of AI and LLMs in antifraud solutions for automation and analysis. ***At Topaz, technology unites us, and evolution connects us!*** Within our organization, we are fully committed to contributing to financial solutions that make the industry safe, accessible, and dynamic. We aim to reach diverse regions worldwide with our comprehensive ecosystem of technological solutions. Therefore, we invite you to join this team! Moreover, we offer excellent benefits for you! We know that together we will achieve success—so apply now and become part of this outstanding team. **Responsibilities and Duties** ***Your day-to-day at Topaz:*** **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 more resilient against digital crimes. We act directly to transform the security landscape in Brazil. If you enjoy investigation, ethical hacking, and solving complex problems, this is the place for you! We leverage creativity and technical expertise to design solutions that truly shield our clients from risks—and positively impact society by preventing crime financing. **What does our day-to-day look like?** Here, routine means challenge: you will join a multidisciplinary team responsible for the digital security of millions of transactions. We monitor suspicious events and threats identified by our products (Desktop, Mobile, Browser, Transactional, AML) in real time, analyzing massive volumes of data to detect anomalous patterns, frauds, and unusual activities. **Our work goes far beyond monitoring** * Design, review, and refine business rules for our antifraud and anti-money laundering solutions. * Investigate incidents, analyze logs, perform reverse engineering, and automate alerts. * Apply Threat Intelligence, Behavioral Analysis, Threat Hunting, and Digital Forensics techniques. * Collaborate 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. **Activities:** * Monitor and analyze threats and frauds in real time; * Configure, tune, and test antifraud and AML rules—from development through production; * Investigate suspicious events, analyze data and logs, support forensic analyses, and present technical findings to the team and clients; * Participate in continuous solution evolution, proposing risk-based improvements and constantly learning from market trends; * Prepare investigative reports and correlate data to enable agile decision-making; * Advance your knowledge of LLM tools and AI agents—we are actively implementing AI agents and maximizing the use of Large Language Models (LLMs) in our antifraud solutions—focusing on automation, efficiency, and new methods of digital analysis and investigation. **Requirements and Qualifications** ***What do you need to know to join Topaz?*** ***Specific Knowledge:*** * Currently pursuing or holding a degree in Computer Science, Information Security, Information Technology, or related fields; * Basic coding proficiency in one or more programming languages (Python preferred; Java, JavaScript, C\+\+, or C\# also acceptable); * Basic SQL and NoSQL database querying skills; * Data analysis capability (descriptive, predictive, prescriptive, diagnostic); * Familiarity with TCP/IP networking, network services (e.g., HTTP, DNS, SMTP), operating system internals (e.g., Windows, Android, iOS), and web and mobile applications. Not mandatory but considered advantageous: * Experience with the Pandas library; * Knowledge of or exposure to fraud prevention and threat intelligence; * Experience with antifraud rules and anti-money laundering (AML) practices; * Basic knowledge of Threat Intelligence, Threat Hunting, and Digital Forensics techniques and tools; * Awareness of data privacy legislation and regulations (e.g., LGPD, GDPR); * Understanding of major cyberattacks related to fraud (e.g., phishing, man\-in\-the\-middle, malware, brute force, session hijacking); * General understanding of artificial intelligence and its applications, plus familiarity with Large Language Model (LLM) tools and AI agents. **Additional Information** **Keep in mind these benefits designed to enhance your experience at Topaz!** **Health and Well-being:** Because we care about our teams, we offer various health plans focused on promoting well-being across the organization. **Personal and Professional Development:** We are constantly evolving. Thus, we provide environments, programs, and policies ensuring the space and opportunities you need. **Flexibility and Time Off:** Here, you’ll find the time necessary to recharge—plus a birthday leave day. Work mode: hybrid. **Partnerships:** We offer multiple partnerships and discounts. \#VemSerTopaz At **Topaz**, we go beyond technological creation: **we transform how the world interacts with money.** Our secret? **Topaz One—the first global full-banking platform, engineered to accelerate the evolution of financial institutions and propel them into new frontiers.** #### **We are a vibrant community of over 2000 Topazers**, united by a deep passion for technology, innovation, and building disruptive solutions. Our diversity of cultures and experiences enriches our perspective and drives us to achieve extraordinary results. #### **If you seek a place where your talent makes a real impact, where you can grow professionally and be part of a global community shaping history,** **join us as a Topazer!** #### **Join our team and let’s build the future of finance.**
