
Risk Intelligence Associate
Posted 21 hours ago

Posted 21 hours ago
This is a fully remote position, open to applicants in India.
• Oversee multi-source event feeds from official announcements, ports and carriers, weather updates, geographical information, regulatory changes, credible resources, and internal systems.
• Validate events by verifying against at least two independent sources, resolving inconsistencies, and documenting confidence levels.
• Analyze facts and their implications using supplier websites, tier mapping, component locations, manufacturing sites, and ongoing customer shipments.
• Generate concise, actionable incident reports that include headlines, event specifics, business implications, exposure snapshots, recommended actions, confidence ratings, and follow-up strategies.
• Preserve citation trails with URLs, timestamps, source notes, screenshots, and archived links when necessary.
• Collaborate with commodity managers for fact verification and approval decisions.
• Distribute alerts following established procedures, ensuring version control and change logs are maintained.
• Monitor incidents through various stages: open, monitoring, mitigated, and closed, ensuring regular updates until resolution.
• Enhance and refine content based on feedback from stakeholders.
• Conduct brief post-incident reviews to document insights, thresholds, and escalation procedures.
• Master’s degree in Business, Economics, International Relations, Data Analytics, or a related discipline.
• A minimum of 2–5 years of experience in risk analysis, market intelligence, or supply chain risk monitoring.
• Preferred experience in geopolitical or operational risk assessment, vendor risk management, or business continuity analysis.
• Familiarity with data visualization or intelligence tools such as Power BI, Tableau, or similar platforms is advantageous.
• Strong comprehension of global supply chain operations, manufacturing processes, and procurement systems.
• Knowledge of risk intelligence frameworks, ESG considerations, and incident escalation processes.
• Proficient analytical and reporting skills.
• Ability to work with large datasets and unstructured data effectively.
• Exceptional communication and presentation skills.
• Proactive approach, keen attention to detail, and capacity to operate under tight deadlines in a dynamic environment.
• High proficiency in MS Excel, PowerPoint, and data analysis tools.
• Equal opportunity employer.
• Reasonable accommodations for qualified individuals with disabilities.
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