Financial Data Analyst

PassFort; Gurugram District; On-site; INR 900,000 - 1,200,000; Full time

Job summary

Moody's Analytics in Gurugram, India seeks a Financial Data Analyst to validate and maintain BankFocus and InsuranceFocus data, ensuring accuracy for internal and external stakeholders.

The role involves analyzing financial data, resolving discrepancies, and explaining methodologies to clients while collaborating with Product, Engineering, Modeling, Research, and Data Ops teams to elevate data quality and client experience.

Qualifications

• 1-3 years of relevant experience in banking, insurance, financial services, accounting, financial analysis, or financial data management.
• Strong analytical, problem-solving, and critical-thinking skills with attention to data accuracy.
• Excellent written and verbal communication and ability to explain complex financial concepts clearly to technical and non-technical audiences.
• Advanced Microsoft Excel skills and proficiency with Microsoft Office applications.
• Ability to manage multiple priorities, work independently in a fast-paced environment, and show initiative and adaptability.
• Experience analyzing bank or insurance financial statements and knowledge of banking regulations (preferred).
• Working knowledge of data feeds, data quality tools, and SQL (preferred).
• Interest in AI concepts and responsible AI practices, risk management and ethics.

Responsibilities

• Analyzes, validates, and maintains financial data for Moody's Analytics BankFocus and InsuranceFocus products while supporting internal and external stakeholders.
• Analyze, review, validate, and maintain bank and insurance financial data using sound financial and accounting principles.
• Investigate and resolve data discrepancies, anomalies, and client-reported issues in a timely manner.
• Serve as a primary point of contact for inquiries related to financial content, data coverage, methodologies, and product functionality.
• Explain financial spreading methodologies, data collection processes, and product features clearly to clients and internal stakeholders.
• Support structured feed ingestion, validation, and monitoring for assigned coverage areas, executing data quality controls and remediation activities.
• Collaborate with Product, Engineering, Modeling, Research, and Data Operations teams to improve data quality, coverage, and client experience.
• Identify opportunities for process optimization, automation, and operational efficiency, and contribute to new data sources and workflow enhancements.
• Use data and technology tools, including AI-enabled solutions, to improve productivity and drive innovation.

Skills

Banking experience

Financial analysis

Data management

Analytical skills

Attention to detail

Communication skills

Excel skills

SQL knowledge

AI concepts

Education

Bachelor's degree

Tools

SQL

Data quality tools

Job description

Financial Data Analyst

Gurugram, India

Skills and Competencies

• 1-3 years of relevant experience in banking, insurance, financial services, accounting, financial analysis, or financial data management
• Strong analytical, problem-solving, and critical-thinking skills, with excellent attention to detail and commitment to data accuracy
• Strong written and verbal communication skills, including the ability to explain complex financial concepts clearly to both technical and non-technical audiences
• Advanced Microsoft Excel skills and proficiency with Microsoft Office applications
• Ability to manage multiple priorities, work independently in a fast-paced environment, and demonstrate initiative, adaptability, and a desire to learn
• Experience analyzing bank or insurance company financial statements and knowledge of banking regulations and financial reporting practices (preferred)
• Working knowledge of SQL, data quality management tools, and structured data feeds (preferred)
• Basic understanding of artificial intelligence concepts, with curiosity and enthusiasm for learning how AI tools can be used to improve processes and drive efficiency. Interest in exploring AI systems and a willingness to develop awareness of responsible AI practices, including risk management and ethical use

Education

• Bachelor's degree in Accounting, Finance, Economics, Data Analytics, or a related quantitative discipline

Responsibilities

• Analyzes, validates, and maintains financial data for Moody's Analytics BankFocus and InsuranceFocus products while delivering high-quality support to internal and external stakeholders.
• Analyze, review, validate, and maintain bank and insurance financial data using sound financial and accounting principles
• Investigate and resolve data discrepancies, anomalies, and client-reported issues in a timely and thorough manner
• Serve as a primary point of contact for inquiries related to financial content, data coverage, methodologies, and product functionality
• Explain financial spreading methodologies, data collection processes, and product features clearly to clients and internal stakeholders
• Support structured feed ingestion, validation, and monitoring for assigned coverage areas, executing data quality controls and remediation activities
• Collaborate with Product, Engineering, Modeling, Research, and Data Operations teams to improve data quality, coverage, and the overall client experience
• Identify opportunities for process optimization, automation, and operational efficiency, and contribute to new data sources and workflow enhancements
• Use data and technology tools, including artificial intelligence-enabled solutions, to improve productivity, drive innovation, and promote continuous learning and operational excellence

About the Team

Our Data Estate Credit & Financials team is responsible for supporting the quality, coverage, and usability of bank and insurance financial data across Moody's Analytics. We partner closely with Product, Engineering, Modeling, Research, and Data Operations to resolve data issues, address client needs, improve processes, and continuously introduce new data sources and workflow enhancements. By joining our team, you will be part of exciting work in global banking and insurance financial data, data quality and governance, financial statement analysis, client support, data automation, artificial intelligence-enabled solutions, and the ongoing enhancement of Moody's Analytics Bank Focus and Insurance Focus products