Fusion Analyst
Bengaluru, Karnataka, India
- Experience
- 7–9 years
- Employment
- Full-time
- Work mode
- Onsite
- Salary
- ₹9.6 L–11.5 L / year
- Deadline
- Apply by 1 Nov 2026
- Posted
- 2026-03-04
Required skills
| Skill | Experience | Level |
|---|---|---|
| Splunk | 5+ years | Intermediate |
| Databricks | 5+ years | Intermediate |
| Data Correlation | 6+ years | Intermediate |
| cyber-fraud-financial crime detection | 6+ years | Intermediate |
| Fraud Detection | 5+ years | Intermediate |
| Financial Crime Surveillance | 5+ years | Intermediate |
| Insider threat analysis | 5+ years | Intermediate |
About the role
We have an open role for Fusion Analyst for Chennai and Bangalore.
The Fusion Analyst will play a critical role in the bank’s Cyber Fusion program, driving the identification, analysis, and integration of threat intelligence, fraud, financial crime, and cybercrime data. The role will support the development and delivery of cross-domain detection use cases, dashboards, and analytics to strengthen enterprise-wide risk detection and response. The analyst will collaborate with internal stakeholders across Cybersecurity, Fraud Risk, Insider Threat, Financial Crime Surveillance, and Physical Security to detect emerging threats, enhance detection capabilities, and provide actionable insights.
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.