Director - Sales Representative

At Moody’s, we unite the brightest minds to turn today’s risks into tomorrow’s opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are—including the freedom to exchange ideas, think innovatively, and listen to one another and customers in meaningful ways. Moody’s is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we’re advancing AI to move from insight to action—enabling intelligence that not only understands complexity but responds to it.

We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence.

• Strong track record (8+ years) in B2B sales or business development within insurance, reinsurance, and preferably within (re) insurance brokers
• Demonstrated success in driving year-over‑year revenue growth through consultative sales of complex software, SaaS, or analytics solutions
• In‑depth knowledge of catastrophe modeling methodologies, property risk analytics, and exposure management workflows
• Excellent relationship‑building skills with senior decision‑makers at (re) insurance brokers
• Proven ability to translate technical model outputs into clear business value propositions for insurance and reinsurance placement and related uses
• Strong presentation and negotiation skills, with experience delivering product demonstrations, workshops, and proposals to diverse audiences
• Familiarity with (re) insurance and insurance‑linked securities (ILS) markets and industry trends
• Basic understanding of artificial intelligence concepts, with curiosity and enthusiasm for learning how AI tools can be used to improve processes and drive efficiency
• Interest in exploring AI systems and a willingness to develop awareness of responsible AI practices, including risk management and ethical use

• Bachelor’s degree in Business, Economics, Finance, Risk Management, or a related field required
• Master’s degree or professional designation (e.g., CPCU, ARM, CFA) preferred
• Sales training or certification in solution selling or consultative sales approaches desired

Drive sales and adoption of Moody’s catastrophe modeling and property risk analytics solutions to (re) insurance brokers through client engagement and market leadership.

• Partner with client teams to identify, qualify, and close opportunities for Moody’s catastrophe modeling and property risk analytics products
• Develop tailored proposals, presentations, and demonstrations that address client pain points and clearly articulate Moody’s value proposition
• Maintain and grow relationships with key accounts, ensuring high client satisfaction and identifying opportunities for upsell and cross‑sell
• Collaborate with product management to relay client feedback, market trends, and competitive intelligence to inform roadmap decisions
• Represent Moody’s at industry conferences, trade shows, and webinars to generate leads and promote brand awareness
• Produce thought leadership content and case studies showcasing successful client outcomes using Moody’s solutions
• Track and report sales metrics, pipeline status, and revenue forecasts in collaboration with account management
• Travel approximately 40% to support client engagement and market presence

This role is part of Moody’s (re) insurance broker and ILS Insurance Sales Team, a world‑class sales organization focused on placing customers at the center of everything we do. The team drives adoption of Moody’s catastrophe models and analytics across the insurance and reinsurance broker market, helps clients deliver value through innovative risk assessment tools, and generates revenue growth through consultative selling and strong client relationships.

By joining the team, you will contribute to impactful work within Moody’s Insurance Segment, combining technical expertise with sales acumen to expand Moody’s presence in the market.

For U.S.–based roles only: the anticipated hiring base salary range for this position is $ – $, depending on factors such as experience, education, level, skills, and location. This range is based on a…