About the role

The analyst is responsible for monitoring, detecting, and investigating data security risks, including unauthorized access and data misuse across enterprise and cloud environments. They will also implement and manage data protection controls, such as DLP and data classification, while ensuring secure data usage within AI tools.

What they look for

Data Security Data Loss Prevention DLP Data Classification Insider Threat Detection Security Monitoring Incident Response Cloud Security CSPM AI Security Risk Management Compliance Information Security Data Handling Network Security Endpoint Security

Requirements

Candidates must have at least 5 years of experience in cybersecurity with a specialization in data security, DLP, or insider threat detection. A bachelor's degree in Cybersecurity, Information Security, Risk Management, Computer Science, or a related field is required.

Full description

Role Purpose

The Data Security Analyst (AVP) sit within the Information Security function and is responsible for safeguarding bank's data, ensuring it is securely handled, stored and shared. The role focuses on operation monitoring, detection, and investigation of data related security risks, including data loss, unauthorised access, and misuse across enterprise environments. The analyst plays a key role in implementing and managing data security controls, including Data Loss Prevention (DLP), data classification, and monitoring capabilities to safeguard critical information.

Key responsibilities

Conduct day-to-day security monitoring and BAU activities with a primary focus on data security controls, including DLP, data access, and data handling across enterprise environments, cloud platforms and AI tools
Investigate and respond to data security incidents, alerts and policy breaches, including data leakage, unauthorised access to data, and misuse of sensitive information
Operate and enhance data protection capabilities such as data classification and monitoring solutions to identify and mitigate data risk across endpoints, networks, and cloud environments
Assess and oversee the secure use of data within AI tools and platforms, ensuring appropriate safeguards are in place to prevent unintended data exposure or misuse
Support governance, risk, and compliance activities related to data security, ensuring adherence to internal policies and regulatory requirements
Collaborate with security engineering and architecture teams by providing operational insights on data security risks and control effectiveness, supporting secure implementation of solutions
Contribute to continuous improvement of data security controls, detection rules, and operational processes to enhance visibility and reduce risk

Essential

5+ years of experience working within a cybersecurity function, specialising in data security, DLP, or insider threat detection
Strong hands-on experience in data security disciplines, including DLP, data classification, and/or insider threat monitoring and investigations
Proven ability to triage, investigate, and respond to data security alerts, including potential data leakage, unauthorised data access, and policy violations
Experience operating and tuning DLP and data classification tool, with a solid understanding of data handling risks across endpoints, networks, and collaboration platforms
Proven experience operating in complex environments managing multiple priorities with ambiguity and high levels of responsibility
Exposure to cloud security concept and CSPM tools and awareness to AI related data security risk is desirable
Bachelor’s degree in Cybersecurity, Information Security, Risk Management, Computer Science, or a related field