
Risk Intelligence Associate
Posted 17 hours ago

Posted 17 hours ago
This is a fully remote position, open to applicants in India.
• Oversee multi-source event feeds from official releases, ports and carriers, weather updates, geo and regulatory changes, along with other credible sources, including internal tools.
• Confirm each event by verifying against at least two independent sources, resolving discrepancies, and documenting confidence levels.
• Analyze facts and implications using supplier websites, tier mapping, parts, manufacturing sites, and ongoing customer shipments.
• Generate concise, actionable incident reports detailing what transpired, its significance, exposure, suggested actions, confidence ratings, and follow-up steps.
• Keep citation trails with links, timestamps, source notes, screenshots, or archived links.
• Collaborate with commodity managers for fact verification and approval on go/no-go decisions.
• Distribute alerts through established processes, incorporating version control and change logs.
• Monitor incidents through stages of open, monitoring, mitigated, and closed, maintaining a regular update cadence 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.
• At least 3–5 years of experience in risk analysis, market intelligence, or supply chain risk assessment.
• Preferred experience in geopolitical or operational risk evaluation, vendor risk, or business continuity analysis.
• Familiarity with data visualization or intelligence tools (e.g., Power BI, Tableau, or similar) is advantageous.
• Strong grasp of global supply chain operations, manufacturing, and procurement ecosystems.
• Knowledge of risk intelligence frameworks, ESG considerations, and incident escalation processes.
• Advanced analytical skills and report generation capabilities; comfortable handling large datasets and unstructured data.
• Exceptional communication and presentation skills, particularly in conveying complex risk scenarios to business stakeholders.
• A proactive attitude, with keen attention to detail and the ability to thrive under tight deadlines in a dynamic environment.
• High proficiency in MS Excel, PowerPoint, and data manipulation tools.
• Equal opportunity employer.
• Reasonable accommodation for qualified individuals with disabilities.
• Full-time employment.
Equiniti
Altais
Sensiba LLP
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