
1001 - 5000 employees
Founded 1999
💼 Consulting
📣 Marketing
🤖 Artificial Intelligence
Consulting • Marketing • Artificial Intelligence
SysMap Solutions is a services company devoted to offering technological development to its customers since 1997. With a focus on cloud solutions, Salesforce, mobile development, CRM, user experience, DevOps, machine learning, and digital transformation, SysMap Solutions leverages its extensive experience to craft complex codes and systems that meet client demands. The company prides itself on its ability to deliver tailored solutions, ensuring that the final product is precisely aligned with customer needs. In the Age of Information, SysMap Solutions stands out as a knowledgeable partner in technology.
🔥 3 minutes ago
🇧🇷 Brazil – Remote
⏰ Full Time
🟡 Mid-level
🟠 Senior
👮♂️ Cybersecurity / Security Engineer
👻 Ghost score 10%
🗣️🇧🇷🇵🇹 Portuguese Required
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1001 - 5000 employees
Founded 1999
💼 Consulting
📣 Marketing
🤖 Artificial Intelligence
Consulting • Marketing • Artificial Intelligence
SysMap Solutions is a services company devoted to offering technological development to its customers since 1997. With a focus on cloud solutions, Salesforce, mobile development, CRM, user experience, DevOps, machine learning, and digital transformation, SysMap Solutions leverages its extensive experience to craft complex codes and systems that meet client demands. The company prides itself on its ability to deliver tailored solutions, ensuring that the final product is precisely aligned with customer needs. In the Age of Information, SysMap Solutions stands out as a knowledgeable partner in technology.
• Participate in mapping and reviewing the driver journey, identifying risks, vulnerabilities, and opportunities for improvement. • Contribute from the Discovery and solution-design phases, ensuring the incorporation of Fraud by Design and Security by Design principles. • Assess fraud and security risks related to the Driver App and its transactional flows. • Conduct threat, vulnerability, and potential attack-vector analyses throughout the fueling journey. • Identify friction points caused by security controls and propose solutions that balance protection with user experience. • Assess risks related to authentication, digital identity, devices, APIs, and integrations involved in the journey. • Define preventive, detective, and corrective controls to mitigate identified risks. • Support the definition of authentication, identity-validation, and account-protection strategies. • Assess the financial, operational, and reputational impacts associated with identified risks. • Work closely with Product, UX, Technology, Data, Operations, and Fraud Prevention teams to ensure secure and efficient journeys. • Support the definition of risk, fraud, and security metrics for continuous monitoring of digital journeys. • Serve as a technical reference on topics related to digital fraud, mobile security, and identity protection.
• Strong experience in Fraud Prevention, Risk Management, or Information Security. • Knowledge of digital fraud, account takeover, social engineering, and transactional fraud. • Experience assessing risks in mobile applications and digital channels. • Knowledge of authentication, authorization, and digital identity. • Experience designing and implementing anti-fraud controls. • Knowledge of mobile security and application protection. • Knowledge of APIs, integrations, and digital application architecture. • Experience analyzing risks, threats, and vulnerabilities. • Ability to assess security impacts during the development of digital journeys and experiences. • Experience working in agile environments and with multiple stakeholders. • Strong communication skills with technical and business teams. • Experience with Fraud by Design. • Experience with Security by Design. • Knowledge of OWASP Mobile and Application Security. • Experience with Device Intelligence and Device Fingerprinting. • Knowledge of biometrics, multifactor authentication, and liveness detection. • Experience with anti-fraud decision engines. • Knowledge of Risk Scoring and risk models. • Experience with transaction monitoring and behavioral analysis. • Knowledge of Machine Learning applied to fraud prevention. • Experience with high-volume transactional applications. • Certifications related to Information Security, risk, or digital fraud.
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