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Anti-Fraud and Information Security Consultant – Specialist
SysMap Solutions. Participate in mapping and reviewing the driver journey, identifying risks, vulnerabilities, and opportunities for improvement.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in Fraud Prevention, Risk Management, and Information Security, with a focus on assessing and mitigating risks in digital journeys and mobile applications. Proficient in implementing security controls and strategies that enhance user experience while ensuring robust protection against fraud.
Highest-signal resume keywords
Fraud PreventionRisk ManagementInformation SecurityDigital IdentityMobile Security
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Risk AssessmentThreat AnalysisVulnerability AnalysisAnti-Fraud ControlsTransaction MonitoringBehavioral AnalysisMachine LearningDevice IntelligenceBiometricsMultifactor Authentication
Soft Skills
Strong Communication
Tools & Technologies
Fraud by DesignSecurity by DesignOWASP Mobile SecurityAnti-Fraud Decision EnginesDigital Application Architecture
Certifications & Qualifications
Information Security CertificationRisk Management CertificationDigital Fraud Certification
Industry Keywords
Digital FraudAccount TakeoverSocial EngineeringAPIsIntegrations
About the role
Key responsibilities & impact- 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.
Requirements
What you’ll need- 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.