About Us
Moody’s is a global leader in financial services, analytics, and risk management, delivering trusted insights that enable organizations to make better decisions. We unite some of the brightest minds in finance, technology, and data science to transform today’s risks into tomorrow’s opportunities.
Founded over a century ago, Moody’s operates in more than 40 countries and is recognized for its commitment to innovation, accuracy, and transparency. We serve a diverse client base, including banks, investment firms, governments, corporations, and insurers, helping them navigate financial markets with clarity and confidence.
At Moody’s, we believe in an inclusive and collaborative culture where every voice matters. We encourage diverse perspectives, champion new ideas, and empower employees to challenge the status quo. Our core values — invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity — shape how we work and how we interact with our clients and communities.
If you are passionate about financial modeling, structured finance, and data-driven decision-making, Moody’s offers a platform where your skills can create a global impact.
Job Details
Job Title: Analytics & Modeling Analyst
Job ID: 10435
Location: Bengaluru, Karnataka, India (On-site)
Employment Type: Full-Time
Batch: Open to graduates and postgraduates from eligible streams
Experience: 0–3 Years
Salary: As per Industry Standards
Qualification: Graduate or Postgraduate degree in Applied Mathematics, Financial Engineering, Econometrics, Statistics, Finance, Physics, or Business preferred
Certifications: Not mandatory; certifications in financial modeling, Python, or structured finance tools are an advantage
Key Responsibilities
As an Analytics & Modeling Analyst in Moody’s Model Verification Team, you will work on the design, verification, and analysis of complex financial models used in structured finance. Your role will require both technical expertise and a deep understanding of financial products.
Develop Complex Cash Flow Models – Use Moody’s proprietary software to build and verify advanced cash flow models for structured finance transactions.
Interpret Legal Documents – Analyze transaction-related legal documents to accurately capture deal terms and translate them into model logic.
Enhance Structured Finance Knowledge – Gain in-depth exposure to asset-backed securities (ABS), mortgage-backed securities (MBS), collateralized debt obligations (CDOs), and other structured products.
Model Verification and Validation – Implement policies and analytical frameworks to confirm the accuracy, performance, and compliance of financial models.
Ad-Hoc Analysis – Support the verification of Credit Risk Quantitative Tools (CRQTs) as required by different teams.
Collaboration Across Teams – Partner with rating analysts, model developers, and research specialists to ensure alignment in modeling assumptions and outputs.
Documentation and Reporting – Maintain detailed records of verification processes, model structures, and analytical findings for internal and external use.
Continuous Improvement – Identify areas for process optimization and contribute to refining the model verification workflow.
Required Skills
Programming Knowledge: Proficiency in at least one of Python, VBA, C++, C#, MATLAB, or R.
Financial Modeling Skills: Understanding of structured finance and cash flow modeling principles.
Analytical Thinking: Strong quantitative and problem-solving abilities with attention to detail.
Team Collaboration: Ability to work effectively within cross-functional teams and manage multiple priorities.
Adaptability: Willingness to learn new tools, technologies, and processes quickly.
Preferred Skills
Moody’s Software Experience: Working knowledge of Moody’s Structured Finance Workstation (SFW) is a strong plus.
Structured Finance Exposure: Prior internship or project experience in ABS, MBS, or other structured finance products.
Advanced Analytical Methods: Familiarity with econometric or statistical modeling techniques.
Documentation Proficiency: Strong written skills for preparing detailed model documentation and verification reports.
Perks and Benefits
Moody’s values its employees and offers a comprehensive benefits package, including:
Competitive Salary – Industry-aligned pay with growth opportunities.
Health and Wellness – Medical, dental, and vision insurance for employees and dependents.
Retirement Plans – Provident Fund, gratuity, and other long-term savings benefits.
Paid Leave – Generous annual leave, sick leave, and public holidays.
Professional Development – Access to specialized training programs, skill-building workshops, and certification sponsorships.
Career Mobility – Opportunities for internal transfers and promotions across departments and global offices.
Inclusive Culture – Diversity, equity, and inclusion initiatives that create a welcoming workplace.
Why Join Us
Joining Moody’s means becoming part of a globally respected institution with a reputation for excellence in analytics and decision support. Here’s why our employees choose us:
Impactful Work – Contribute to financial models that influence global investment and lending decisions.
Learning Opportunities – Work alongside leading experts in structured finance, analytics, and risk management.
Innovation at Scale – Use advanced tools and proprietary software to solve real-world financial challenges.
Diverse Teams – Collaborate with colleagues from different backgrounds, experiences, and cultures.
Recognition and Rewards – Performance-driven culture that celebrates contributions and innovation.
If you are curious, analytical, and passionate about finance and modeling, Moody’s offers you a platform for career growth and global impact.
How to Apply
Prepare your CV highlighting your programming knowledge, financial modeling experience, and analytical skills. Shortlisted candidates may go through:
Initial Screening – Review of qualifications and relevant experience.
Technical Assessment – Evaluation of programming and modeling skills.
Panel Interview – Discussion with team leads and HR regarding fit and expectations.
