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Moody'S Analytics Jobs (NOW HIRING)

Moody's Corporation

Data Product Manager

Manhattan, NY · On-site

... analysis, and identify automation opportunities across workflows • Embed data quality, lineage ... S. is required, as Moody's will not pursue visa sponsorship for this position • 8+ years of ...

Sonsoft Inc

Business Analyst (Market Risk

Tampa, FL

Understanding of Credit ratings provided by various agencies - SnP, Moody, Fitch. * Experience in ... S. citizens and those authorized to work in the U.S. are encouraged to apply . We are unable to ...

Sonsoft Inc

Business Analyst (Market Risk

Tampa, FL · On-site

Understanding of Credit ratings provided by various agencies - SnP, Moody, Fitch. * Experience in ... S. citizens and those authorized to work in the U.S. are encouraged to apply . We are unable to ...

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How much do moody's analytics jobs pay per hour?

As of Jun 14, 2026, the average hourly pay for moody's analytics in the United States is $52.26, according to ZipRecruiter salary data. Most workers in this role earn between $37.98 and $65.14 per hour, depending on experience, location, and employer.

What is a Moody's Analytics job?

A Moody's Analytics job typically involves working in financial research, data analysis, risk management, or software solutions related to economic and market insights. Employees help clients assess risks, make informed financial decisions, and comply with regulatory requirements. Roles can range from data scientists and financial analysts to software engineers and risk consultants. Moody’s Analytics serves financial institutions, corporations, and government agencies by providing data-driven solutions.

What career growth opportunities are available for employees at Moody’s Analytics?

Moody’s Analytics offers a variety of career advancement paths, including progression into senior analytical, client management, or leadership roles. Employees are encouraged to expand their expertise through internal training, industry certifications, and participation in cross-functional projects. Many team members find opportunities to rotate between departments or take on international assignments, allowing for broad professional development. This supportive environment helps individuals gain the skills and experience needed to move forward in their careers.

What are the key skills and qualifications needed to thrive in the Moody'S Analytics position, and why are they important?

To thrive in a Moody's Analytics role, you generally need strong analytical skills, a background in finance, economics, or data science, and a relevant degree such as a Bachelor's or Master's. Familiarity with financial modeling tools, data analysis software like Excel or Python, and certifications such as CFA or FRM can be highly beneficial. Excellent communication, problem-solving ability, and teamwork skills help professionals effectively interpret data and present insights to clients or colleagues. These competencies ensure accurate analyses, informed decision-making, and successful client engagements within the financial analytics industry.

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Moody S Analytics jobs near you
Data Product Manager

Data Product Manager

Moody's Corporation

Manhattan, NY • On-site

Full-time

Posted 18 days ago

Job description

Job Summary:
Moody's Corporation is a global leader in ratings and integrated risk assessment, striving to create an inclusive environment. They are seeking a Data Product Manager to lead a data engineering squad, responsible for delivering high-quality, governed data that drives customer and business value.
Responsibilities:
• Lead and own a data engineering squad responsible for delivering high-quality, governed data on a core data platform that drives customer and business value.
• Own squad roadmap, backlog prioritization, execution, and delivery while accelerating decision making and removing blockers to maintain focus on high-value outcomes
• Partner with Data Platform Product Owner, Data Governance, QA, Data Engineering, and Product Development teams to bring new data sets to market
• Collaborate with data engineers to evaluate solution complexity and architectural tradeoffs, balancing speed, scalability, cost, and AI readiness
• Lead agile ceremonies including sprint planning, backlog refinement, reviews, and retrospectives to ensure consistent, high-quality delivery
• Align across squads to manage dependencies, support sound decision making, and coordinate release readiness with Operations, Data Quality, and Governance partners
• Leverage AI and GenAI tools to accelerate requirements, summarize stakeholder inputs, support impact analysis, and identify automation opportunities across workflows
• Embed data quality, lineage, governance, and metadata standards into backlog items and acceptance criteria, with focus on AI- and model-driven products
• Proactively identify and mitigate delivery, quality, privacy, and operational risks across the data lifecycle while strengthening stakeholder relationships
Qualifications:
Required:
• Employment eligibility to work in the U.S. is required, as Moody’s will not pursue visa sponsorship for this position
• 8+ years of experience in technical product management or data engineering for data-intensive B2B products, with a strong grasp of agile methodologies and delivery practices
• Experience with data platforms and analytics environments such as Snowflake, Databricks, Redshift, Athena, or Kafka
• Expertise in defining, monitoring, and operationalizing data quality and QA standards for downstream analytics and AI consumers
• Proficiency with SQL for data analysis, troubleshooting, and validation, with familiarity in how data is consumed by machine learning or AI systems
• Results-oriented mindset with the ability to drive delivery in complex, matrixed environments and manage vendors or external partners
• Strong communication and analytical skills, including the ability to translate complex data concepts for technical and non-technical stakeholders and persist through problem solving with attention to detail
• Demonstrated initiative, curiosity, and commitment to continuous improvement, with experience improving team effectiveness and proficiency in AI tools, responsible AI use, and workflow optimization
• Bachelor’s degree required
Preferred:
• advanced degree such as an MBA or Master’s preferred
Company:
In a world shaped by increasingly interconnected risks, Moody’s helps customers develop a holistic view of these risks to advance their business and act decisively. Founded in 1900, the company is headquartered in New York, USA, with a team of 10001+ employees. The company is currently Late Stage.

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