Engineering Underwriter

Responsibilities

• Evaluate and underwrite engineering insurance proposals (EAR, CAR, Machinery Breakdown, Boiler & Pressure Plant, etc.) in line with company guidelines.
• Conduct detailed risk assessments, site inspections, and technical analyses to determine accurate premium ratings and appropriate coverage terms.
• Negotiate terms and conditions with brokers, agents, and direct clients to secure new business and renew existing accounts.
• Collaborate with loss control engineers, claims teams, actuaries, and reinsurance partners to ensure sound risk selection and portfolio profitability.
• Monitor and manage the performance of the engineering book, analysing loss ratios, trends, and exposure aggregations to recommend corrective actions.
• Prepare and present regular underwriting reports, risk profiles, and market insights to senior management.
• Ensure compliance with internal underwriting authority limits, regulatory requirements (IRDAI), and company risk management frameworks.
• Build and maintain strong relationships with intermediaries, clients, and industry stakeholders to enhance the brand and drive sustainable growth.
  

Requirements

• Bachelor’s degree in Engineering, Insurance, Risk Management, or a related discipline.
• 4–10 years of hands-on experience in Engineering Underwriting within the general insurance industry.
• Comprehensive knowledge of engineering insurance products, policy wordings, and local regulatory guidelines.
• Strong analytical and numerical skills with the ability to interpret technical drawings, loss data, and actuarial models.
• Excellent communication, negotiation, and stakeholder-management capabilities.
• Proficiency in underwriting platforms, MS Excel, and risk-assessment tools.
• Demonstrated ability to work independently, meet deadlines, and manage multiple priorities in a fast-paced environment.
  

Nice To Have

• Professional insurance designations such as ACII, FCII, or equivalent.
• Familiarity with reinsurance structures and facultative placement.
• Exposure to data analytics, predictive modelling, or pricing algorithms.
• Project management experience on large infrastructure or industrial projects.
• Advanced knowledge of statistical software, Power BI, or similar business-intelligence tools.