Senior AI-Enabled UK Sub-Sovereign Credit Analyst

Moody's Corporation; Greater London; On-site; GBP 85,000 - 110,000; Full time

Job summary

Moody's Corporation in the United Kingdom is seeking a senior credit analyst to lead analysis of UK sub-sovereign issuers, beginning with housing associations. You will evaluate audited statements, monitor sector trends, and present forward-looking recommendations to rating committees.

You will collaborate with regional and global teams, mentor junior staff, and apply responsible AI practices to enhance research quality and efficiency.

Qualifications

• Strong financial statement analysis required.
• Accounting principles knowledge advantageous.
• Experience in credit risk analysis across public sector or sub-sovereign sectors.

Responsibilities

• Lead credit analysis for UK sub-sovereign issuers, starting with housing associations.
• Analyse audited financial statements and sector data to assess credit quality.
• Monitor developments affecting assigned credits and sector trends.
• Present recommendations at rating committees with clear rationale.
• Build relationships with issuers, investors, and government representatives.
• Collaborate with regional and global colleagues to maintain standards.
• Coach junior colleagues and support research and portfolio activities.
• Complete documentation and compliance per internal standards.

Skills

Strong financial statement analysis

Accounting principles understanding

Credit risk analysis

Quantitative and analytical skills

English communication

AI curiosity

Responsible AI practices

Education

Graduate degree in Accounting/Finance/Economics

CFA or equivalent professional qualification

Job description

Moody's Corporation in the United Kingdom is seeking a senior credit analyst to lead analysis of UK sub-sovereign issuers, beginning with housing associations. You will evaluate audited statements, monitor sector trends, and present forward-looking recommendations to rating committees.

You will collaborate with regional and global teams, mentor junior staff, and apply responsible AI practices to enhance research quality and efficiency.