At Moody\'s, we unite the brightest minds to turn today\xe2\x80\x99s risks into tomorrow\xe2\x80\x99s 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.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.A Moody\xe2\x80\x99s Analytics Solutions Specialist interprets and defines customer needs to align the client\xe2\x80\x99s objectives and business requirements with Moody\'s Analytics products\xe2\x80\x99 capabilities and value. This responsibility is accomplished by conducting live product demonstrations via web-based meetings, in-person meetings, and through providing collateral to support sales strategies.Working in conjunction with a frontline sales team, the Solutions Specialist will actively manage the evaluation stage of the sales process for Moody\xe2\x80\x99s RMS products including demos, proof of concepts and trial support.The RMS Solutions Specialist are experts in their domain, with a deep understanding of the market, client needs, and RMS offerings. They provide technical risk management solutions support to the sales team and help progress and close opportunities with existing clients and prospects. They can articulate to customers how RMS products and services can help them address their desired business outcomes. They also play a key role teaming with product management to provide market and client feedback.Key Responsibilities:
Understand prevailing trends and best practices in Insurance Risk Management and Cat Modeling.
Demonstrate subject matter expertise in implementing cloud solutions with insurers.
Assist frontline sales reps in understanding market opportunities and qualifying potential leads for Moody\xe2\x80\x99s RMS products.
Articulate and conduct in-depth product feature benefit discussions as they relate to Moody\'s Analytics RMS product offerings.
Participate in customer facing meetings to align strategies and determine business and methodological requirements that will be used in providing solutions.
Gain customer acceptance of Moody\xe2\x80\x99s Analytics products by explaining and/or demonstrating how RMS products can be integrated into existing solutions.
Work closely with the frontline sales team on proposals, Requests for Proposal (RFPs) and Requests for Information (RFIs) responses.
Lead integration components of POC\xe2\x80\x99s of RMS Products from start to successful completion and ensure a smooth handover to the customer success team for implementation after contract signature.
Document market feedback regarding product experience and desired enhancements and ensure product management understands it.
Qualifications:
Bachelor\xe2\x80\x99s Degree in Computer Science or Economics or Actuarial Science
Minimum of 5-7 years of experience in insurance and Cat Modeling
Deep expertise in cloud computing is a plus
Strong data and data integration experience
Experience working with REST APIs is a plus
Strategic, analytical, operations-focused, able to recognize market opportunities.
Ability to work independently under minimal supervision.
Excellent written and verbal communication skills including ability to listen to requirements and business problems to respond with the appropriate business answer.
Ability to work in a high-pressure deadline-oriented environment.
Ability to work productively and cooperatively in a structured and rigorous team environment.
Public speaking experience or internal lead on training within an organization is a plus.
Experience with complex sales cycles is a plus.
Hands on experience using Moody\xe2\x80\x99s RMS products (Risklink or Risk Modeler)
Ability to travel up to 50%.
For US-based roles only: the anticipated hiring base salary range for this position is $97,400.00 - $141,350.00, 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\xe2\x80\x99s 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\xe2\x80\x99s is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, gender, age, religion, national origin, citizen status, marital status, physical or mental disability, military or veteran status, sexual orientation, gender identity, gender expression, genetic information, or any other characteristic protected by law. Moody\xe2\x80\x99s 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 . 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 . Click here for more information on . Click here to view our . Click here to view our Candidates for Moody\'s Corporation may be asked to disclose securities holdings pursuant to Moody\xe2\x80\x99s 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.