Pre Sales Solutions Consultant Jobs

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—with the freedom to exchange ideas, think innovatively, and listen to each other 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.

If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity.

• 5+ years of experience in catastrophe modeling, climate science, or property insurance, as this is required to credibly support modeling discussions and interpret model outputs.
• A consultative selling approach, which is necessary to lead technical discussions, articulate business value, and support commercial sales cycles with insurance and reinsurance clients.
• Strong research and problem-solving skills, which are needed to understand client requirements and communicate the value of catastrophe models to stakeholders ranging from technical experts to senior decision-makers.
• A high degree of self-motivation combined with being an excellent team player, as this role must operate successfully in client-facing sales engagements while coordinating with cross-functional teams.
• Experience in insurance or reinsurance markets, including underwriting or portfolio workflows, is preferred to enable a strong understanding of client challenges and to establish credibility in technical and commercial discussions.
• Demonstrated proficiency in artificial intelligence concepts, with hands-on experience using AI tools to streamline workflows and enhance operational efficiency. Proven ability to implement AI-powered solutions to solve business challenges. Demonstrates a growing awareness of AI risk management and a commitment to responsible and ethical AI use.

• Bachelor’s degree in a quantitative or technical discipline such as Engineering, Physics, Mathematics, Climate Science, Earth Sciences, or Computer Science.
• An advanced degree (Master’s or PhD) in a relevant scientific or analytical discipline is preferred, as it supports deeper technical discussions and credibility in client-facing engagements.

• Support sales by applying deep catastrophe model expertise to client challenges, from demonstrations to proof-of-concept engagements.
• Provide in-depth technical support throughout sales engagements and formal proposal processes, including business value assessments, demonstrations, and proof-of-concept work.
• Translate complex modelling, scientific, and technical concepts into clear, actionable insights that support insurance decision-making.
• Foster strong technical relationships with insurance and reinsurance clients.
• Partner with relationship managers to identify and qualify insurance opportunities, support client conversations, and help shape solutions aligned to insurer needs.
• Support go-to-market planning and execution for catastrophe modelling solutions serving insurance and reinsurance markets.
• Produce relevant collateral, use cases, and presentation materials using standard marketing and communication resources.
• Build intelligence on market trends related to insurance risk analytics, emerging perils, and evolving client use cases.
• Collaborate with model development, consulting, sales, product, and client relationship teams to drive commercial success and market adoption within insurance.

For US-based roles only: the anticipated hiring base salary range for this position is $113,200.00 - $164,050.00, depending on factors such as experience, education, level, skills, and location. This range is based on a full-time position. In addition to base salary, this role is eligible for incentive compensation. Moody’s also offers a competitive benefits package, including not but limited to medical, dental, vision, parental leave, paid time off, a 401(k) plan with employee and company contribution opportunities, life, disability, and accident insurance, a discounted employee stock purchase plan, and tuition reimbursement.

Moody’s is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, gender, age, religion or creed, national origin, ancestry, citizenship, marital or familial status, sexual orientation, gender identity, gender expression, genetic information, physical or mental disability, military or veteran status, or any other characteristic protected by law. Moody’s also provides reasonable accommodation to qualified individuals with disabilities or based on a sincerely held religious belief in accordance with applicable laws. If you need to inquire about a reasonable accommodation, or need assistance with completing the application process, please email accommodations@moodys.com. This contact information is for accommodation requests only, and cannot be used to inquire about the status of applications

For San Francisco positions, qualified applicants with criminal histories will be considered for employment consistent with the requirements of the San Francisco Fair Chance Ordinance.

This position may be considered a promotional opportunity, pursuant to the Colorado Equal Pay for Equal Work Act.

Click here to view our full EEO policy statement. Click here for more information on your EEO rights under the law. Click here to view our Pay Transparency Nondiscrimination statement.

Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody’s Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.