• 4+ years of experience in fraud prevention, cyber security, or financial crime technology roles.
• Strong understanding of cyber-enabled fraud vectors including account takeover (ATO), social engineering and scams, bot and automation attacks, session hijacking, remote access tool (RAT) abuse, malware-driven fraud, and synthetic identity fraud.
• Hands-on experience with sessional or behavioral anti-fraud tooling and familiarity with transactional fraud engines.
• Working knowledge of fraud detection techniques including device fingerprinting, behavioral biometrics, bot detection, anomaly detection, and risk scoring models.
• Familiarity with SIEM/SOAR or orchestration platforms including incident workflows and playbook design.
• Understanding of how fraud tooling integrates into a financial environment (REST APIs, web and mobile SDKs, risk score delivery, and event ingestion).
• Hands-on experience with log collection, parsing, and correlation rule design across high-risk applications.
• Ability to review system and application architectures and assess where fraud detection controls should sit; able to translate fraud threats into detection logic and escalation criteria.
• Scripting proficiency in Python, SQL, or equivalent for detection logic, data analysis, and automation tasks.

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• Opportunities for professional growth and development.
• Competitive salary and bonuses.
• Comprehensive insurance coverage.
• Supportive work environment.
• Visa Premium salary card.
• Corporate discounts and events.
• Additional vacation days.
• Discounted education and employee loans.

• Lead the deployment, maintenance, and support of sessional anti-fraud tooling, including SDK integration across web and mobile channels and risk score delivery into the transaction fraud engine.
• Design and tune detection logic, correlation rules, and risk thresholds, and maintain the feedback loop between analyst outcomes and detection quality.
• Analyze and respond to alerts generated by fraud prevention tooling (triaging, investigating, and escalating in line with defined criteria).
• Improve the resilience of ecosystem products against cyber-enabled fraud, working with application and product development teams to close security weaknesses that expose the customers to fraud.
• Support fraud teams during investigations involving sophisticated cyber-enabled attacks, providing technical analysis of the mechanisms involved.
• Perform fraud incident management (log analysis, timeline reconstruction, and root cause analysis) and document findings for operational and stakeholder use.
• Build scripts, automations, and integrations to support detection, alert handling, and data analysis across the division's tooling.