Analyst, Risk and Compliance

Overview
We are seeking a proactive, technically skilled AI Risk Analyst to join our Information Security Risk & Compliance team in Gurgaon. Ideal candidates have 1-3 years of experience and will primarily lead and mature Cvent's AI risk assessment program covering model and system risk reviews, data and privacy considerations, and secure enablement of AI use cases. You will also provide secondary support across broader Governance, Risk and Compliance (GRC) activities, including Third Party Risk Management (TPRM) collaboration and audit readiness, partnering with cross-functional teams to enable timely risk decisions and strengthen our overall posture. This is a hands-on role with significant stakeholder engagement and an opportunity to drive measurable impact.

In This Role, You Will

• Conduct comprehensive technical risk assessments for internal systems, projects, process improvements, AI initiatives, and vendor/product integrations, identifying risks, establishing mitigation plans, and collaborating with cross-functional teams to support effective risk treatment and mitigation.
• Actively participate in the third-party risk management program by conducting vendor security assessments, focusing on evaluating technical security controls, integration risks, and compliance requirements, including evaluating AI features and risks.
• Support in enhancing the third- party risk assessment program by maturing assessment approach, monitoring processes, re-evaluation criteria, and adopting a customized, AI-driven vendor security scorecard.
• Identify, document, and monitor risks, recommend technical treatment plans, and manage follow through closure and reporting.
• Support certification audits for ISO 27001 and 27701, SOC 2, PCI DSS, TX-RAMP, HIPAA, and ITGC SOX, assisting with evidence collection, remediation tracking, and automated data aggregation workflows.
• Conduct access control reviews to validate user permissions and enforce least privilege principles.
• Leverage security automation tools to monitor compliance metrics, detect anomalies, and generate reports for stakeholders.
• Contribute to the development, refinement, and implementation of security policies, standards, and procedures, emphasizing automation-driven workflows, actionable reporting, and incorporation of AI governance guidelines.
• Support the organization's AI initiatives by engaging in AI solution development and adoption.
• Provide daily operational support for compliance initiatives, ensuring timely execution of projects and alignment with organizational security objectives

Here's What You Need

• Bachelor's degree in computer science, Information Technology, Cybersecurity, or a related field (master's preferred).
• 1-3 years of experience in development and risk engineering and AI security
• 1 - 3 years of demonstrable experience in security risk management, auditing and compliance, with a focus on supporting security risk assessments and security audit and compliance activities.
• Good interpersonal communication skills with experience and confidence in collaborating with internal and external partners and stakeholders to develop productive relationships and achieve positive security risk management outcomes.
• Ability to learn quickly with a willingness to take ownership for new projects and learning new technologies and methodologies.
• Understanding of risk assessment methodologies and best practices.
• Ability and willingness to produce and maintain documentation and reports, specifically developing policies, standards, risk assessment reports, and other forms of Security Risk Management Program documentation.
• Proficiency with productivity and collaboration tools, such as Microsoft Office, Slack, Box, and Zoom.
• Excellent presentation and written communications skills and a team-focused attitude.

Must have

• Understanding of AI/ML concepts, including model development, training, and deployment.
• Familiarity with Generative AI (GenAI) risks, such as prompt injection, data leakage, model bias, and adversarial attacks.
• Experience with AI guardrails, including input/output sanitization, audit trail logging, and model vulnerability scanning.
• Knowledge of cloud security frameworks (e.g., AWS, Azure, GCP) for securing AI/ML deployments.
• Experience integrating AI-powered tools into existing security and compliance workflows.
• Ability to design scalable, automation-driven processes to reduce manual overhead.