Moody’s Recruitment Drive; Hiring Financial Data Analyst – Apply Now

Financial Data Analyst Job Openings in Bangalore 2026!!!

Moody’s announced job vacancy for the post of Financial Data Analyst. The place of posting will be at Bangalore. Candidates who have completed Graduate / Engineering / Post Graduate with Fresher / Experience are eligible to apply. More details about qualifications, job description and roles & responsibilities are as follows

Company Overview

Name of the Company	Moody’s
Required Qualifications	Graduate / CFA L1/L2 cleared
Skills	Strong understanding of fundamental finance and financial statements
Category	Credit Analysis & Research
Work Type	Onsite

At Moody's, they unite the brightest minds to turn today’s risks into tomorrow’s opportunities. They do this by striving to create an inclusive environment where everyone feels welcome to be who they are—with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. Moody’s is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, they’re advancing AI to move from insight to action—enabling intelligence that not only understands complexity but responds to it. They decode risk to unlock opportunity, helping their clients navigate uncertainty with clarity, speed, and confidence.

If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. They are seeking candidates who model their values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity.

Job Details

Θ Positions: Financial Data Analyst

Θ Job Location: Bangalore

Θ Salary: As per company standards

Θ Job Type: Full Time

Θ Requisition ID: 14107

Roles and Responsibilities:

• Perform analysis to support ratings, research, analytical outreach.
• Perform various data intake tasks, including scrubbing, validating the financial data for further use in research and ratings
• Apply MIS' standards to existing data in order to produce valuable inputs into the rating and research process, including Moody's adjusted data, key indicators, ratios, charts and graphs in line with MIS's methodologies
• Responsible for reviewing and understanding financial reports, official statements and other documents related to issuers' performance
• Work directly with ratings and support analysts to understand data capture requirements, adjustments and other information needed by the rating team for ratings and research
• Take initiative to participate in projects or process improvements
• Complete simple deliverables such as newsletters, database maintenance, more complex or high profile admin or other ad-hoc support with oversight
• Be able to perform data intake exercises such as resolution of data point or mapping issues

Required Skills & Qualifications:

• Graduates in Finance, Economics, Business, Accounting or similar field. Freshers with CFA L1/L2 cleared can also apply.
• Any knowledge in SQL, Python, PowerBI etc. will be an added advantage.
• Strong understanding of fundamental finance and financial statements, basic understanding of capital markets
• Curious problem solvers who enjoy learning new things, working with others, and continuously growing their interpersonal and technical skills
• Candidates from diverse backgrounds and academic disciplines with a strong focus on Finance/Technology/Support & Management
• Fluency in English with good written and verbal communication skills; good interpersonal skills
• Create visual representations of data findings through charts, graphs, and dashboards to make the data understandable
• Relevant experience of up to 1 years in credit/financial data analysis/structured finance domain and interpretation is an added advantage
• Basic knowledge of AI concepts and a proactive interest in leveraging AI technologies to enhance operations and efficiency are expected. A commitment to learning about responsible AI practices, including risk management and ethical application, is important

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