Information Security Analyst

Topaz

Information Security Analyst monitoring threats and fraud for a financial solutions company. Engaging in investigations and enhancing business rules for fraud prevention.

Posted 6/9/2026full-timeIndaiatuba • 🇧🇷 BrazilMid-LevelSeniorWebsite

Tech Stack

Tools & technologies

AndroidDNSiOSJavaJavaScriptNoSQLPandasPythonSMTPSQLTCP/IP

About the role

Key responsibilities & impact

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 identified by our products (Desktop, Mobile, Browser, Transactional, AML), analyzing vast amounts of data to detect atypical patterns, fraud, and unusual activity.
We create, review, and refine the business rules for our anti-fraud and anti-money laundering solutions.
We investigate incidents, analyze logs, perform reverse engineering, and automate alerts.
We use 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.

Requirements

What you’ll need

Monitor and analyze threats and fraud in real time;
Configure, tune, and test anti-fraud and AML rules, from development cycle to 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 our solutions, suggesting risk-based improvements and learning from market trends;
Prepare investigative reports and correlate data to support agile decision-making;
Expand your knowledge of LLM tools and AI agents — we are actively implementing agents and leveraging Large Language Models (LLMs) in our anti-fraud solutions, focusing on automation, efficiency, and new methods of digital analysis and investigation.
Degree required 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 querying skills in SQL and NoSQL databases;
Data analysis capabilities (descriptive, predictive, prescriptive, diagnostic);
Familiarity with TCP/IP networks, network services (such as HTTP, DNS, SMTP), operating system internals (such as Windows, Android, iOS) and Web and Mobile applications;
Knowledge or exposure to fraud prevention and threat intelligence;
Knowledge of techniques and tools for Threat Intelligence, Threat Hunting, and Digital Forensics;
Understanding of major cyberattacks related to fraud (phishing, man-in-the-middle, malware, brute force, session hijacking, etc.).
Not mandatory but a plus:
Experience with anti-fraud rules and anti-money laundering (AML);
Experience with the Pandas library;
Awareness of data privacy laws and regulations (LGPD, GDPR, etc.);
General understanding of artificial intelligence and its applications and familiarity with Language Model (LLM) tools and AI agents.

Benefits

Comp & perks

Health and well-being: We care about our teams and offer various health plans focused on promoting well-being across the organization.
Personal and professional development: We are constantly evolving. We provide environments, programs, and policies that ensure the space and opportunities you need for growth — career path.
Flexibility and time off: You'll have time to recharge, plus enjoy a day off on your birthday. Hybrid work model.
Partnerships and discounts: We offer various corporate agreements and discounts.

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

PythonJavaJavaScriptC++C#SQLNoSQLdata analysisThreat IntelligenceDigital Forensics

Soft Skills

analytical skillscommunicationteam collaborationproblem-solvingagile decision-making