Description:
The Information Security Risk Analyst is the operational engine of the internal risk program. While the Senior IRM Analyst and Risk Director define the strategic roadmap, the Analyst ensures the daily execution of that strategy. They are responsible for the "production line" of risk assessment: taking raw signals from the business, processing them through the established methodology, and outputting actionable risk decisions (Remediation or Acceptance).
The ultimate objective of this role is Reduction of Uncertainty. By managing the program effectively, the IRM Analyst ensures that MongoDB’s leadership has a clear, quantified view of the top risks facing the enterprise. They transform the Risk Register from a static spreadsheet into a dynamic governance tool that drives accountability.
The IRM Analyst must not be afraid to be in the trenches with the Engineering and Product teams. They are the primary face of the "Risk Intake Process," guiding stakeholders through the methodology. They are the gatekeeper of quality, ensuring that no risk enters the register until it has been properly scoped and quantified.
Responsibilities:
Risk Identification & Assessment
- Execute risk assessments under senior guidance - perform scoping, inherent risk scoring, control assessment, and residual risk calculation using established methodology
- Conduct risk identification intake, manage the flow of requests from Jira Service Desk and the Issue Intake Tracker, review incoming submissions against entry criteria, assign Risk IDs, and replicate validated risks into the Risk Register
- Act as the Triage Officer for incoming risk submissions, determine whether submissions represent strategic risks, operational issues, or duplicates. Filter noise to focus the team on signals
- Develop risk scenarios for in-scope assets by working with asset owners and risk owners , identify threat communities, threat events, and impact categories
- Draft Risk Assessment Memos that tell a cohesive story from risk statement to risk rating to actionable recommendation. Progressively build toward independently authored memos that require minimal review notes
- Monitor and flag emerging risk signals , including AI-related risks (model integrity, data poisoning, shadow AI, third-party AI dependencies) , and escalate with documented analysis for integration into the risk framework
Control Identification, Mapping & Assessment
- Identify and document controls that mitigate assessed risks , map controls to specific risk scenarios and applicable framework requirements (NIST SP 800-53, ISO 27001, SOC 2)
- Assess the design adequacy of controls , evaluate whether each control is appropriately designed to address the risk it is mapped to, and document findings with supporting rationale
- Assess the operating effectivenes