Website:
Job details:
Key Responsibilities
Detection & Analytics
- Support the design, development, and tuning of cyber-fraud-financial crime detection use cases in Splunk, Databricks, and other platforms.
- Perform data correlation and enrichment across multiple sources (cyber, fraud, insider, physical, external threat intel).
- Conduct retrospective hunts and support purple/red team simulations to validate detection coverage.
Threat Intelligence & Fusion
- Ingest and analyse external intelligence feeds (e.g., law enforcement, vendors, regulators) and correlate with internal data.
- Identify patterns, anomalies, and emerging threats relevant to fraud, insider risk, and cybercrime.
- Document intelligence driven detection scenarios and integrate them into dashboards/alerts.
Collaboration & Stakeholder Engagement
- Work closely with Fraud, Financial Crime, Cybersecurity, and Physical Security teams to define, prioritize, and deliver fusion use cases.
- Participate in working groups (e.g., mules, insider, emerging threats) to provide analysis and insights.
- Communicate findings and use case benefits in clear business terms.
Dashboards & Reporting
- Build and maintain dashboards to provide visibility into fraud, cyber, and financial crime risks.
- Generate metrics, reporting packs, and insights for senior stakeholders, regulators, and governance forums.
Continuous Improvement
- Stay updated on new threats, fraud tactics, insider risks, and detection technologies.
- Recommend improvements in detection, automation, and threat hunting.
- Contribute to the development of the Fusion Target Operating Model (TOM) 2026 vision.
Click on Apply to know more.