Strategic Risk Analyst synthesizing internal abuse patterns and external intelligence into decision - ready insights for OpenAI. Collaborate cross - functionally to shape safety and product readiness decisions.
About the role
- Senior RiskOps Analyst ensuring digital security for financial transactions at Topaz. Leading investigations and collaborating with multidisciplinary teams for fraud prevention.
Responsibilities
- Here, routine means leadership and innovation: you will be a reference in a multidisciplinary team responsible for the digital security of millions of transactions, managing high-impact strategies and decisions.
- We monitor suspicious transactions and threats identified by our products (Desktop, Mobile, Browser, Transactional, AML) in real time, analyzing vast amounts of data to detect anomalous patterns, fraud, and unusual activity, with a focus on optimization and scalability.
- Serve as a reference for creating, reviewing, and improving advanced business rules for our anti-fraud and anti-money laundering solutions, also influencing the product roadmap.
- Conduct investigations of complex incidents, analyze logs, and automate alerts, with emphasis on high-criticality scenarios.
- Collaborate strategically with Data Science, Development, Product, and Customer Experience teams, driving innovation and cross-functional integrations.
- Contribute to the design and evolution of architecture, anticipating threats, scams, emerging frauds, and implementing global best practices.
- You will face challenges such as optimizing analyses for scalability, integrating LLMs (Large Language Models) into anti-fraud flows, and adopting emerging technologies.
Requirements
- Bachelor's degree in Computer Science, Information Security, Information Technology, or related fields; postgraduate degrees or advanced certifications (e.g., CISSP, CEH, GIAC) are a plus;
- Proven experience in fraud prevention or related areas, with involvement in complex projects;
- Ability to code in one or more programming languages (preferably Python, but also Java, JavaScript, C++, C#), with emphasis on process automation;
- Solid experience querying SQL and NoSQL databases for data correlation;
- Expertise in data analysis (descriptive, predictive, prescriptive, diagnostic), applied to real-world fraud prevention scenarios;
- Strong knowledge of TCP/IP networking, network services (such as HTTP, DNS, SMTP), operating systems (Windows, Android, iOS), and Web and Mobile applications;
- Mastery of major cyber attacks related to fraud (phishing, man-in-the-middle, malware, brute force, session hijacking, etc.), with practical experience defending against them.
- Not required but considered a plus:
- Experience with Threat Intelligence, Threat Hunting, or Digital Forensics teams;
- Proficiency with libraries like Pandas or similar for data analysis;
- In-depth knowledge of data privacy laws and regulations (LGPD, GDPR, etc.);
- Practical experience with artificial intelligence, Language Models (LLM), and AI agents, including production deployments.
Benefits
- Health and wellness: 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. Therefore, we provide environments, programs, and policies that ensure the space and opportunities necessary for your growth 🎓 Career path.
- Flexibility and time off: Here you will find the time needed to recharge, and you can also enjoy a day off on your birthday 🥳 — Hybrid work model.
- Partnerships: We offer various partnerships and discounts.
Job title
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