Senior Insurance Risk Manager

Job description

Job responsibilities

• Insurance Strategy & Program Management: Lead the comprehensive life cycle of corporate insurance placements (e.g., General Liability, Property, Auto, Workers' Compensation, and D&O), including strategy development,…
• Quantitative Risk Modeling: Oversee the development and validation of sophisticated risk models—including exposure analysis, catastrophe modeling, and loss data statistics—to drive data-backed decisions on risk…
• Risk Assessment & Identification: Conduct regular enterprise-wide operational audits to identify emerging risks, performing detailed financial projections to recommend optimized risk control solutions.
• Claims Management & Advocacy: Direct the investigation and management of high-exposure insurance claims, acting as the primary advocate for the company in negotiations with brokers and carriers to ensure favorable…
• Corporate Compliance & Governance: Develop, maintain, and audit the corporate Risk Management Manual, ensuring all procedures comply with evolving safety regulations and internal governance standards.
• Strategic Stakeholder Collaboration: Partner with executive leadership across Legal, Finance, and Operations to align risk strategies with commercial milestones and promote enterprise-wide loss prevention initiatives.
• AI Integration for Risk: Pioneer the use of AI-driven tools and agentic workflows to accelerate claims processing, automate routine risk reporting, and improve the accuracy of predictive cost modeling.

Job requirements

• Bachelor’s degree in Risk Management, Finance, Business, or a related quantitative field.
• Minimum 8+ years of progressive experience in corporate risk management, insurance brokerage, or underwriting.
• Advanced mastery of insurance principles, complex policy language, and alternative risk financing structures (e.g., captives or large deductible programs).
• Expert proficiency in Risk Management Information Systems (RMIS) and advanced data visualization tools. Demonstrable ability to create and interpret complex financial models.
• Strong track record of successfully negotiating with major global insurers and communicating high-level risk concepts to executive stakeholders.
• Knowledge of Python, SQL, or AI-powered analytical platforms.
• Professional designations such as CRM (Certified Risk Manager), ARM (Associate in Risk Management), or CPCU (Chartered Property Casualty Underwriter).
• Prior experience in the Autonomous Vehicle (AV), technology, or logistics/trucking sectors is highly preferred.