Senior Financial Data Analyst
Key Skills for This Role
Full Job Posting
Skills and Competencies
- 0-2 years’ experience in credit/financial data analysis and interpretation with knowledge of capital markets; experience in structured finance will be an added advantage
- Skilled in identifying key credit risk factors and applying relevant credit methodologies to support analysis and decision-making.
- Excellent Microsoft Office skills, particularly advanced Microsoft Excel skills.
- Excellent English communication and interpersonal skills
- Detail-oriented and well-organized, with a proven ability to excel in team-driven environments.
- Basic understanding of AI concepts (Generative AI tools and Agentic AI systems), with curiosity and enthusiasm for learning how AI tools can be used to improve processes and drive efficiency leveraging these technologies for research, analysis, or workflow optimization. Interest in exploring AI systems and a 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 along with proficiency in handling large datasets, ensuring data integrity, and applying best practices in data analysis
Education
Masters’ degree in Accounting, Finance, Economics from or qualified CA
CFA/FRM certification is preferred.
Responsibilities
- Independently manage routine deliverables such as portfolio review preparation, credit opinions, and outreach materials, while contributing 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.
About the team
Being part of the RRS Global Capability Centers provides a unique opportunity to foster skills that are valuable to any future career in the financial services industry. The RRS GCC teams perform a range of data, analytical and research services that contribute to the overall credit analysis function performed by the rating groups. By joining our team, you will be a part of exciting work in the global capability centers.
Moody’s is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender expression, gender identity or any other characteristic protected by law. Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody’s Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary. For more information on the Securities Trading Program, please refer to the Securities Trading Policy on Moody’s Compliance Expo page Please note: STP categories are assigned by the hiring teams and are subject to change over the course of an employee’s tenure with Moody’s.
Requirements
- 0-2 years’ experience in credit/financial data analysis and interpretation with knowledge of capital markets; experience in structured finance will be an added advantage
- Skilled in identifying key credit risk factors and applying relevant credit methodologies to support analysis and decision-making.
- Excellent Microsoft Office skills, particularly advanced Microsoft Excel skills.
- Excellent English communication and interpersonal skills
- Detail-oriented and well-organized, with a proven ability to excel in team-driven environments.
- Basic understanding of AI concepts (Generative AI tools and Agentic AI systems), with curiosity and enthusiasm for learning how AI tools can be used to improve processes and drive efficiency leveraging these technologies for research, analysis, or workflow optimization. Interest in exploring AI systems and a 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 along with proficiency in handling large datasets, ensuring data integrity, and applying best practices in data analysis
About Moody's
Global integrated risk assessment firm and provider of financial analytics.
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