Moody’s is hiring for an FRESHER entry level Analytics & Modeling Analyst role in India

Position:

• Analytics & Modeling Analyst

Company:

• Moody’s

Location:

• Bengaluru, Karnataka, India

Job type:

• Full Time

Job mode:

• Onsite

Job requisition id:

• 13364

Years of experience:

• 0 to 3 years

Company description:

• Moody’s is recognized globally for its work in credit ratings, financial intelligence, risk analytics, and integrated risk assessment solutions that support organizations, institutions, and governments in making informed financial decisions.

• The organization operates across multiple regions and supports businesses by providing research, analytical tools, data driven insights, and technology solutions that help clients understand financial uncertainty and market conditions more effectively.

• Moody’s has built a strong reputation for delivering reliable assessments in the financial ecosystem. The company focuses on enabling organizations to identify opportunities while managing financial, operational, and market related risks with confidence.

• The company places a strong emphasis on innovation and continues to expand its capabilities in artificial intelligence, advanced analytics, and data intelligence. By leveraging technology, Moody’s aims to simplify complex financial information and help clients convert insights into meaningful actions.

• Moody’s encourages an inclusive and collaborative work culture where employees are encouraged to share ideas, think independently, and contribute to problem solving initiatives. The organization values integrity, curiosity, teamwork, and continuous learning.

• Employees at Moody’s often work on projects involving risk analysis, quantitative research, financial modeling, data science, machine learning, and analytical validation across global financial markets.

• The company supports professional development through exposure to international projects, cross functional collaboration, structured learning opportunities, and access to industry leading analytical methodologies.

• Moody’s also focuses heavily on maintaining analytical rigor and transparency in financial markets, making it one of the most respected organizations within the risk assessment and ratings industry.

• Teams within the company work closely with evolving technologies and frameworks, helping improve financial decision making processes for clients across industries such as banking, insurance, structured finance, infrastructure, and corporate sectors.

• Moody’s continues to strengthen its position as a leader in global financial intelligence by combining technology, quantitative expertise, and analytical research to help businesses navigate rapidly changing economic environments.

Profile overview:

• The Analytics & Modeling Analyst role at Moody’s is designed for candidates who possess a strong interest in quantitative analysis, financial modeling, data driven decision making, and analytical validation processes.

• This position involves working closely with quantitative methodologies and credit rating frameworks to validate models, assess risk related assumptions, and ensure the reliability of analytical systems used across various financial sectors.

• Professionals in this role will contribute to the independent review and validation of models associated with credit ratings, ESG methodologies, and artificial intelligence based analytical systems.

• The role requires candidates to analyze large volumes of quantitative information and evaluate whether models are logically designed, statistically sound, and operationally effective.

• Employees will participate in sensitivity analysis, benchmarking exercises, and comparative evaluations to identify model strengths, weaknesses, assumptions, and limitations.

• Candidates will also work on replicating existing analytical models and developing alternative challenger models to independently test the effectiveness and stability of current methodologies.

• The position demands strong technical exposure to programming languages such as Python, SQL, R, MATLAB, and other quantitative tools used for model validation and data analysis tasks.

• Individuals joining this role are expected to prepare structured validation reports and communicate technical findings clearly to stakeholders, reviewers, and team members.

• Since the role supports high impact financial assessments, professionals must demonstrate accuracy, attention to detail, and the ability to manage multiple analytical assignments within strict timelines.

• The opportunity is ideal for freshers and early career professionals who are interested in quantitative finance, risk analytics, credit modeling, and applied data science within the financial services industry.

• Candidates who enjoy solving analytical problems, validating complex systems, and working on data intensive projects within a collaborative environment may find this role highly rewarding.

• Exposure to multiple financial asset classes and global analytical methodologies also provides strong long term learning opportunities for professionals aiming to build careers in financial analytics, quantitative research, risk modeling, or data science.

Qualifications:

• Candidates are expected to possess a strong academic background in quantitative disciplines such as Mathematics, Statistics, Engineering, Physics, Computer Science, Economics, Finance, or related analytical fields.

• A postgraduate qualification is preferred for this role, especially in areas associated with quantitative methods, financial engineering, data analytics, computational modeling, or applied mathematics.

• Applicants should demonstrate familiarity with quantitative analysis techniques, statistical reasoning, and mathematical problem solving approaches commonly used in financial environments.

• Knowledge of programming languages such as Python, SQL, R, and MATLAB is highly valuable, as these tools are regularly used for model validation, data analysis, automation, and reporting activities.

• Understanding of concepts related to credit risk, market risk, counterparty risk, financial modeling, and quantitative validation frameworks will provide an added advantage during the hiring process.

• Candidates should be comfortable working with large datasets, validating assumptions, identifying inconsistencies, and evaluating the reliability of quantitative methodologies.

• Exposure to machine learning concepts, analytical modeling, or artificial intelligence based systems may also be beneficial, considering the organization’s increasing focus on advanced analytical technologies.

• Strong written communication skills are important because employees are expected to create structured validation reports, summarize findings, and document analytical observations effectively.

• Verbal communication and collaboration abilities are equally important, since the role involves interaction with analytical teams, methodology reviewers, and internal stakeholders.

• Candidates should demonstrate problem solving abilities, logical reasoning skills, and the capacity to independently analyze complex quantitative scenarios with precision.

• Attention to detail is critical because even minor analytical inaccuracies may impact financial assessments and model performance evaluations.

• Professionals who are self motivated, curious, organized, and capable of balancing multiple responsibilities simultaneously are likely to perform successfully in this position.

• Familiarity with financial markets, rating systems, statistical testing methods, and analytical frameworks may further strengthen a candidate’s profile.

• The role is suitable for candidates looking to begin or strengthen their careers in quantitative analytics, financial research, risk management, or model validation within a globally recognized organization.

Responsibilities:

• Conduct independent validation and review of quantitative models and scorecards used within Moody’s credit rating methodologies.

• Evaluate model assumptions, design structures, conceptual frameworks, input variables, and overall analytical soundness.

• Perform sensitivity analysis, benchmarking studies, and comparative assessments across multiple financial asset classes.

• Validate methodologies associated with Environmental, Social, and Governance frameworks and artificial intelligence driven analytical systems.

• Replicate existing models and create challenger models for performance testing and analytical comparison purposes.

• Analyze potential model weaknesses, limitations, performance gaps, and operational risks while maintaining high analytical accuracy.

• Prepare detailed validation documentation and structured reports summarizing findings, recommendations, and observations.

• Collaborate with cross functional analytical teams to support methodology reviews and quantitative initiatives.

• Conduct ad hoc research and analytical studies to support broader organizational objectives and financial assessment processes.

• Manage multiple assignments simultaneously while ensuring quality standards and deadline adherence.

• Maintain analytical rigor and contribute to the integrity of Moody’s credit rating methodologies.

• Support ongoing improvements in model validation frameworks, testing processes, and analytical standards.

• Communicate complex quantitative concepts clearly to both technical and non technical stakeholders.

• Contribute to maintaining confidence and transparency in global financial rating systems through accurate analytical evaluation.

About the Team:

• The Methodology Review Group at Moody’s is responsible for independently reviewing and validating quantitative models and methodologies used in credit ratings and analytical assessments.

• The team plays an important role in maintaining analytical integrity, model consistency, and confidence in financial evaluations conducted by the organization.

• Team members work across multiple sectors including corporate finance, financial institutions, structured finance, infrastructure finance, and public finance.

• Professionals within this group collaborate on high impact projects involving quantitative validation, analytical testing, risk analysis, and methodological improvements.

• The team environment encourages analytical thinking, independent evaluation, collaborative learning, and continuous improvement.

• Employees gain exposure to advanced quantitative frameworks, global financial systems, and sophisticated analytical methodologies.

• The role offers opportunities to work with experienced professionals across quantitative finance, financial analytics, and model validation domains.

• Team members are expected to maintain strong analytical discipline while contributing to the reliability and effectiveness of Moody’s rating methodologies.

• Working within this group provides valuable industry exposure for professionals interested in quantitative research, financial risk management, and analytical modeling careers.

Additional info:

• Moody’s encourages applicants to apply even if they do not fully meet every listed requirement, emphasizing potential, learning ability, and alignment with company values.

• The organization values curiosity, integrity, teamwork, relationship building, and diverse perspectives across all teams and functions.

• Moody’s promotes an inclusive workplace culture where employees are encouraged to contribute ideas and collaborate openly.

• The company follows equal opportunity employment practices and evaluates applicants without discrimination based on personal background or protected characteristics.

• Selected candidates may be required to comply with company policies related to securities trading disclosures and regulatory standards.

• Employment eligibility may depend on compliance with internal trading policies and associated organizational guidelines.

• Moody’s continues to invest in artificial intelligence and advanced analytics technologies to improve analytical decision making capabilities.

• Employees may gain exposure to modern analytical tools, financial technologies, machine learning systems, and AI related validation processes.

• The company offers opportunities to work on globally relevant analytical projects involving risk intelligence and financial research.

• Candidates joining the organization may benefit from long term career growth opportunities within quantitative analytics, model validation, risk management, and financial intelligence domains.

• The role provides strong exposure to real world financial applications, data driven methodologies, and advanced quantitative problem solving.

• Professionals interested in analytics, financial systems, and applied quantitative research may find this opportunity highly valuable for building long term expertise.

• The position also allows employees to collaborate with global teams and contribute to analytical processes that influence financial market confidence worldwide.

• Moody’s continues to maintain a strong presence within the financial services industry by combining data intelligence, technology innovation, and analytical expertise.

Please click here to apply.