Director, Solutions Specialist - Structured Finance

PowerToFly; New York (NY); On-site; USD 136,000 - 197,000; Full time

Benefits offered by this job

Medical, dental, vision

401(k) plan with employer contribution

Tuition reimbursement

Parental leave

Job summary

Moody’s is seeking a seasoned professional in New York to serve as a liaison between technical teams and sales, supporting commercialization and adoption of structured finance data and analytics solutions.

You will lead product demonstrations, develop RFI/RFP responses with cross‑functional teams, manage client onboarding for API and web products, and help expand relationships across asset classes while contributing to product enhancements.

Qualifications

• 5+ years in structured finance or related client-facing roles.
• Knowledge of CLOs, CMBS, RMBS, and ABS with tranche mechanics.
• Experience supporting RFPs, demos, onboarding for API and web data products.
• Excellent ability to explain structured credit to technical and non-technical audiences.
• Ability to manage multiple client engagements in fast-paced environments.
• Knowledge of Moody's SF Portal, SF Workstation, and CDONet preferred.
• Experience at a data/analytics vendor serving structured finance clients preferred.
• Basic understanding of AI with interest in responsible AI practices.

Responsibilities

• Bridge technical teams and sales to commercialize data solutions.
• Demonstrate products and discovery sessions for clients across the investor base.
• Lead RFI/RFP responses with sales and product teams.
• Onboard clients for API and web products.
• Maintain client touchpoints and growth opportunities with Account Managers.
• Translate client requirements into executable solutions.
• Support clients in accessing, interpreting structured finance data.
• Develop user guides and training materials.
• Gather feedback to support product roadmap.

Skills

Structured finance

Securitization analytics

Client onboarding

Effective communication

Project management

Education

Bachelor's degree

Tools

Moody's Structured Finance Portal

Structured Finance Workstation

CDONet

Job description

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.

Skills and Competencies

• 5+ years of experience in structured finance, securitization analytics, or a related client-facing role at a service provider, ratings agency, or financial institution
• Working knowledge across structured finance asset classes including Collateralized Loan Obligations, Commercial Mortgage-Backed Securities, Residential Mortgage-Backed Securities, and Asset-Backed Securities, with an understanding of tranche mechanics, credit enhancement, and cashflow waterfalls
• Demonstrated experience supporting product demonstrations, request for proposal and request for information responses, and customer onboarding for application programming interface and web-based data products
• Excellent communication skills with the ability to explain structured credit concepts clearly to both technical and non-technical audiences
• Ability to manage multiple client engagements simultaneously in a fast-paced, deadline-oriented environment
• Knowledge of Moody's Structured Finance Portal, Structured Finance Workstation, and CDONet solutions preferred
• Experience at a data or analytics vendor serving structured finance clients, such as Bloomberg, Trepp, or similar organizations preferred
• 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.

Education

• Bachelor's degree in Business, Finance, Data Analytics, Economics, or a related field is required; equivalent practical experience will also be considered

Responsibilities

Serve as the liaison between technical teams and sales organizations to support commercialization and adoption of structured finance data and analytics solutions.

• Facilitate product demonstrations and discovery sessions for prospective and existing clients across the structured finance investor base, including asset managers, insurers, banks, and structured credit professionals
• Lead the development of request for information and request for proposal responses in partnership with sales and product teams
• Manage customer onboarding for application programming interface and web-based products, helping clients realize value quickly and effectively
• Conduct regular client touchpoints, identify expansion opportunities, and partner with Account Managers on commercial strategy and growth initiatives
• Act as the bridge between technical staff and frontline sales teams, translating client requirements into executable solutions
• Support clients in accessing, connecting, and interpreting structured finance performance data and structuring tools across multiple asset classes
• Develop user guides, training materials, and enablement resources tailored to structured finance investor workflows
• Gather and communicate client and market feedback to Product and Research teams to support product enhancements, innovation, and roadmap development

About the Team

Our Structured Finance Data and Analytics team helps investors and issuers navigate complex structured credit markets by delivering high-quality data, analytics, and technology solutions across a broad range of asset classes. By joining our team, you will work in a collaborative, high-impact environment that partners closely with Product, Research, Sales, and Technology teams to deliver commercially viable, technically executable outcomes while supporting innovation and the adoption of data-driven solutions across the structured finance ecosystem.

For US-based roles only: the anticipated hiring base salary range for this position is$135,700.00-$196,750.00, 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 [e-mail]. 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.