Product Manager - Credit
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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.
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.
The Credit Centre of Excellence (COE) team at Moody’s Analytics is responsible for maintaining and enhancing our industry-leading credit analytics and predictive modelling capabilities. We work closely with various departments including product management, commercial strategy, and go-to-market leaders to ensure the delivery of high-quality credit risk assessments and solutions. This collaborative approach allows the COE to integrate seamlessly into Moody's Analytics structure to support and grow our customers’ business operations and enhance their ability to navigate risk.
By Joining our team, you will be part of exciting work in defining key new capabilities and analytics, working with established and emerging technologies, to deliver insights in the era of exponential risk.
Moody’s Analytics is seeking a seasoned product manager to lead risk solution development within its Credit Centre of Excellence. The role focuses on managing product scope and requirements in uncertain, evolving project environments, especially in financial services involving large datasets and statistical modeling. The role will lead product management for risk solutions in uncertain environments, defining scope and requirements for complex financial products with cross-functional teams.
Responsibilities:
Lead discussions with product management and strategy teams to develop novel solutions for analytical solutions in environments where initial scope and requirements are unclear or evolving.
Collaborate closely with research teams, data scientists, and business stakeholders to progressively define project requirements and scope boundaries.
Manage cross-functional teams working on complex projects involving large datasets, statistical modeling, and AI agent systems.
Conduct stakeholder interviews and requirements elicitation across multiple business segments to extract insights and clarify understanding.
Assess project feasibility, manage risks, and make informed decisions with incomplete information to ensure deliverable outcomes.
Translate research findings and technical capabilities into actionable product features that deliver measurable business value.
Navigate ambiguous project environments while maintaining focus on strategic objectives and business outcomes.
Coordinate with senior business leaders to align product initiatives with organizational goals and market opportunities.
Skills and Competencies:
7+ years of demonstratable experience of core product management practices (road mapping, prioritisation, feature definition), within dynamic project environments where scope and requirements evolved during the process of requirements elicitation. Experience within financial services, particularly involving large datasets and statistical modelling, is preferred.
7+ years' experience in systematic requirements gathering, stakeholder interviewing, and progressive scope definition in contexts with incomplete initial information, ideally within financial services industry or using large datasets.
Proficiency in leveraging GenAI tools to synthesize complex stakeholder inputs, generate structured requirement, and create comprehensive scope documentation that bridges technical concepts and business understanding.
Minimum of 10 years’ experience collaborating with cross-functional teams across business units and geographies to drive alignment and execution. Experience of working with senior stakeholders is highly preferred.
7 -10 years’ experience identifying, evaluating, and managing risks when project parameters are unclear, including skills to make informed decisions with incomplete information within financial services contexts involving large data sets and statistical modelling.
Experience using Jira preferred
Background in a data analysis function preferred
Proven ability to analyze, optimize, or establish new workflows to improve efficiency, scalability, and cross-functional alignment, particularly in environments with evolving requirements or complex data dependencies.
Familiarity with credit risk modeling concepts, methodologies, and their applications in financial services is preferred. Demonstrated ability to communicate complex technical concepts in a clear, tailored manner to diverse stakeholders.
- Bachelor’s degree in a relevant field such as Finance, Economics, Mathematics, Data Science, Computer Science, Engineering, or a related discipline is required. Advanced degree is preferred.
For US-based roles only: the anticipated hiring base salary range for this position is $141,200.00 - $204,650.00, 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. Click here to view our Notice to New York City Applicants.
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.
For more information on the Securities Trading Program, please refer to the STP Quick Reference guide on ComplianceNet
Please note: STP categories are assigned by the hiring teams and are subject to change over the course of an employee’s tenure with Moody’s.
- Posted: 08/05/2025
- Job Reference #: 10129
- Location(s):
- 250 Greenwich Street, New York, NY 10007, United States
- Line of Business: Credit COE(CredCOE)
- Job category:
- Product Development
- Experience Level: Experienced Hire