Overview
As a CREDit Program Analyst, you join a leading credit ratings team through a two-year graduate program. You will build capability in credit, data, and tooling while leveraging AI-enabled productivity under governance. You collaborate across practices to produce decision-ready research and support clients and markets with concise, evidence-backed narratives. This role blends rigorous analysis with innovative tooling to accelerate insights without compromising quality or integrity. You’ll work in a globally connected, diverse culture that prioritizes learning and development.
Pay / Benefits
- Health & Wellness
- Flexible Downtime
- Continuous Learning
- Invest in Your Future
- Family Friendly Perks
- Beyond the Basics
Responsibilities
- Build credit, financial data, and tooling capability; establish standard, reliable outputs
- Contribute to AI-enabled productivity via reusable prompts, templates, and lightweight automations
- Support teammates with attention to detail and contribute ideas in collaboration
- Drive continuous improvement by evaluating processes and adopting new tools
- Partner with analysts to ensure reliable execution and timely risk escalation
- Maintain high-quality research and data packs; use automation to improve consistency with human review
- Utilize approved LLM-powered tools for initial research, followed by validation and evidence capture
- Support recurring monitoring workflows and data-related projects
- Collect, clean, reconcile, and validate data; identify inconsistencies and risks
- Support financial model maintenance
- Monitor issuer, sector, and market developments; produce concise, sourced summaries
- Translate data and research into clear narratives for clients and markets
- Uphold confidentiality, governance, and risk management requirements
Key requirements
- Bachelor’s degree or equivalent expected by August 2027; advanced degrees or CFA valued
- Collaborative, dependable team member who manages priorities and communicates clearly
- Learning mindset with openness to new tools and automation for quality gains
- Interest in automation with clear quality controls and measurable outcomes
- Strength in research and data analysis; ability to synthesize into decision-ready outputs
- Strong spreadsheet skills; willingness to learn data/automation tools beyond speed
- Practical AI fluency: experience or willingness to develop with GenAI/LLMs; strong validation discipline
- Effective written and verbal communication to present research clearly
- Solutions-oriented mindset for internal and external stakeholder service
- Commitment to accuracy, traceability, and confidentiality; responsible technology use
- collaborative
- dependable
- learning mindset
- GenAI/LLMs
- automation tooling
- data handling and cleaning
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