Senior Cyber Fraud Prevention Specialist

Vakansiyanın detalları

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.

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.

Müraciət üçün (CV): https://careers.bir.az/vacancies/7496