Security Specialist – Digital Fraud

Explore and interpret transactional and behavioral data to identify fraud patterns, anomalies, and emerging risks

Build and maintain dashboards and reports using tools such as Splunk , Azure Data Explorer , and Databricks to monitor fraud trends and key performance indicators

Investigate and respond to digital fraud threats , including credential stuffing, account takeover, fake account creation, marketplace abuse, and security bypass attempts

Design and deploy detection rules, alerts, and use cases within fraud monitoring platforms

Partner with Data, Engineering, and Product teams to improve fraud detection systems, risk engines, and workflows

Perform root cause analysis on fraud incidents and contribute to long-term prevention strategies

Identify gaps in detection capabilities and support continuous improvement of fraud prevention frameworks

Support fraud-related incident response and post-incident reviews

Share insights and recommendations with stakeholders as a trusted subject matter resource

Experience in digital fraud , threat hunting , or fraud risk management

Hands-on experience with fraud detection systems , risk engines , or security information and event management platforms

Strong working knowledge of SQL and Python for data analysis, automation, and investigations

Experience working with large-scale datasets and turning analysis into actionable insights

Experience developing detection logic , scoring approaches, or model-driven rules

Solid understanding of common fraud and abuse patterns , such as account takeover and automated attacks

Strong problem-solving and analytical skills with attention to detail