AVP, Methodology Development — AI-Driven Risk Analytics

Moody

New York (NY)

On-site

USD 163,000 - 237,000

Full time

14 days+

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Benefits offered by this job

Medical, dental, vision
401(k) with company match
Tuition reimbursement

Job summary

Moody's is seeking an AVP in the CSS Methodology Development Group to lead low and medium- complexity methodology projects. You will collaborate with MDG and rating teams to ensure robust, transparent analytics and author documentation meeting regulatory standards.

Ideal candidates have a BS, CFA a plus, and strong quantitative skills, with experience in AI concepts and risk-aware implementation. US-based base salary range is disclosed and performance-based incentives apply.

Qualifications

  • Experience in credit analysis, preferably Structured Finance.
  • Strong quantitative and written/oral communication skills.
  • Ability to coordinate across diverse analytical viewpoints and teams.
  • Growing awareness of AI risk management and ethical AI use.

Responsibilities

  • Lead low and medium methodology development projects across teams.
  • Develop sector and cross-sector methodologies and assessment frameworks using Agile.
  • Collaborate with CSS and rating teams for robustness and transparency.
  • Author methodology documents meeting internal standards and regulatory requirements.
  • Prepare submission packages for Methodology Review Group approval.
  • Assist with ad-hoc quantitative/analytical projects and ensure policy compliance.

Skills

Credit analysis
Quantitative skills
Communication skills
Cross-team coordination
Organization & prioritization
Team player & ethics
AI concepts
AI risk management awareness

Education

Bachelor's degree
CFA designation (plus)

Tools

AI tools

Job description

Moody's is seeking an AVP in the CSS Methodology Development Group to lead low and medium- complexity methodology projects. You will collaborate with MDG and rating teams to ensure robust, transparent analytics and author documentation meeting regulatory standards.

Ideal candidates have a BS, CFA a plus, and strong quantitative skills, with experience in AI concepts and risk-aware implementation. US-based base salary range is disclosed and performance-based incentives apply.

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