Join is seeking a Senior Cybersecurity Analyst for a hybrid quality - focused squad. Responsible for incident response and digital forensics in cybersecurity.
About the role
- 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.
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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