Senior Credit AI & Digitalization Lead

Moody's Corporation; New York (NY); On-site; USD 96,000 - 139,000; Full time

Benefits offered by this job

401(k) with employer match

Tuition reimbursement

Medical/dental/vision benefits

Job summary

Moody's Corporation seeks a qualified professional to advance AI-driven analytics within the Digitalization & Analytical Tools team, driving four active workstreams and data governance across Moody's ratings ecosystem.

You will coordinate strategic initiatives, shape digitalization strategy, and ensure readiness of GenAI-based analytics while partnering with technology teams for trusted data foundations.

Qualifications

• 3–5 years in fixed income credit markets with understanding of credit ratings and market dynamics.
• Strong interest in AI/data tech and building AI-enabled solutions.

Responsibilities

• Coordinate timelines and dependencies across three strategic workstreams in Digitalization & Analytical Tools.
• Shapе and advance the digitalization strategy for Credit Strategy & Guidance with GenAI and modern data tech.
• Assess GenAI readiness for Credit Strategy & Guidance’s AI-driven analytics.
• Roll out data governance strategy with data owners and technology teams.
• Define and monitor performance frameworks for analytical data and content.
• Bridge credit expertise and technology innovation to accelerate AI-powered insights across Moody's.

Skills

Fixed income experience

AI in finance

Project management

Strategic thinking

Data governance

Power BI

Power Platform

GenAI familiarity

Storytelling to leadership

Education

Undergraduate degree in quantitative field

CFA / PMP or data science certs

Tools

Power BI

Power Platform

GenAI tools

Job description

Moody's Corporation seeks a qualified professional to advance AI-driven analytics within the Digitalization & Analytical Tools team, driving four active workstreams and data governance across Moody's ratings ecosystem.

You will coordinate strategic initiatives, shape digitalization strategy, and ensure readiness of GenAI-based analytics while partnering with technology teams for trusted data foundations.