Jr Information Security Analyst ensuring digital security for financial solutions at Topaz. Monitoring threats, configuring rules, and collaborating with diverse teams for fraud prevention.
Responsibilities
Monitor and analyze threats and fraud in real time;
Configure, tune, and test anti-fraud and AML rules, from the development cycle through production;
Investigate suspicious events, analyze data and logs, support forensic analyses, and present technical findings to the team and clients;
Contribute to the continuous evolution of solutions by suggesting risk-based improvements and staying current with market trends;
Prepare investigative reports and correlate data to enable fast decision-making;
Advance your knowledge of LLM tools and AI agents — we are actively implementing agents and extracting the full potential of Large Language Models (LLMs) in our anti-fraud solutions, focusing on automation, efficiency, and new approaches to digital analysis and investigation.
Requirements
Must be studying or have a degree in Computer Science, Information Security, Information Technology, or related fields;
Basic coding skills in one or more programming languages (preferably Python, but Java, JavaScript, C++, C# are also acceptable);
Basic query skills in SQL and NoSQL databases;
Ability to perform data analysis (descriptive, predictive, prescriptive, diagnostic);
Familiarity with TCP/IP networking, network services (such as HTTP, DNS, SMTP), the operation of operating systems (such as Windows, Android, iOS), and Web and Mobile applications.
Not required but a plus: Experience with the Pandas library; exposure to fraud prevention and threat intelligence; experience with anti-fraud rules and anti-money laundering (AML) processes; basic knowledge of Threat Intelligence, Threat Hunting, and Digital Forensics techniques and tools; awareness of data privacy laws and regulations (LGPD, GDPR, etc.); knowledge of common cyber attacks 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 Language Model (LLM) tools and AI agents.
Benefits
Health and well-being: We offer a range of health plans focused on promoting well-being across the organization.
Personal and professional development: We provide environments, programs, and policies that ensure space and opportunities for growth.
Flexibility and time off: You will have time to recharge, including an additional day off on your birthday.
Partnerships: We offer various partnerships and discounts.
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