Senior Financial Data Analyst

Key Responsibilities

• Independently manage routine deliverables such as portfolio review preparation, credit opinions, and outreach materials.
• Contribute to process improvement initiatives.
• Apply Moody’s ratings methodologies to create adjusted data, key indicators, ratios, charts, and graphs that enhance ratings and research accuracy.
• Perform data intake, scrubbing, and validation to ensure accuracy and readiness for research and ratings processes.
• Analyze financial reports, official statements, and related documents to assess issuer performance and creditworthiness.
• Partner with analysts and accounting specialists to apply relevant accounting concepts and capture accurate data for ratings.
• Provide direction and resolve queries for junior team members to ensure quality and efficiency in deliverables.

Requirements & Tech Stack

• 0-2 years’ experience in credit/financial data analysis and interpretation.
• Knowledge of capital markets.
• Microsoft Office proficiency, particularly advanced Microsoft Excel.
• Excellent English communication and interpersonal skills.
• Detail-oriented and well-organized.
• Proven ability to excel in team-driven environments.
• Basic understanding of AI concepts (Generative AI tools and Agentic AI systems).
• Curiosity and enthusiasm for learning how AI tools can be used to improve processes and drive efficiency.
• Interest in exploring AI systems and willingness to develop awareness of responsible AI practices, including risk management and ethical use.
• Experience with data science and analytics tools like Python, Power BI, and Alteryx is advantageous.
• Proficiency in handling large datasets, ensuring data integrity, and applying best practices in data analysis is advantageous.

Qualifications

• Masters’ degree in Accounting, Finance, Economics, or qualified CA.
• CFA/FRM certification is preferred.
• Experience in structured finance will be an added advantage.