At Moody's, we unite the brightest minds to turn today’s risks into tomorrow’s opportunities. We 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, we’re advancing AI to move from insight to action—enabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity, helping our 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. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity.

Skills And Competencies





• Minimum of 3 to 4 years of relevant experience in the securitization field with hands-on exposure to Structured Finance asset classes such as Collateralized Loan Obligations, Residential Mortgage Backed Securities, Commercial Mortgage Backed Securities, or Asset Backed Securities required; background in Collateralized Loan Obligation asset class preferred
• Strong quantitative and analytical problem-solving abilities with the capability to interpret and model complex deal structures and cash flow waterfalls accurately
• Experience with data tools and scripting or programming languages such as SQL, Python, VBA, C#, JavaScript, and JSON highly desirable; candidates may be assessed on problem-solving skills and ability to write code
• Attention to detail with the ability to deliver outputs accurately within stipulated timeframes while managing multiple priorities in a fast-paced global workplace
• Excellent team player with the abilit

📌 Financial Engineer (Gurugram)
🏢 Moody's
📍 Gurugram