BENGALURU · FULLTIME
Financial Engineer
Moody's Analytics
Bengaluru · onsite · Posted 34d ago
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Undisclosed2–5 yrsfulltimeBengaluru
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Section · 01
About this role
Job Summary
Skills and Competencies
Education
Responsibilities
About the Team
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
At Moodys, 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
- 2-5 years of experience in structured finance, with hands-on experience in securitization (CLO and private credit preferred)
- Proven quantitative and analytical skills, with the ability to interpret complex legal and financial documentation
- Proficiency in programming or scripting languages such as Python, C/C++, C#, or Java to support modeling and automation
- Advanced Excel skills, with a high level of accuracy and attention to detail
- Ability to collaborate effectively with global, cross-functional teams across business, engineering, and technology
- Demonstrated curiosity and openness to leveraging AI to improve efficiency and model quality
Education
- Bachelor s or Master s degree in Finance, Financial Engineering, Economics, Mathematics, Statistics, or a related quantitative discipline
Responsibilities
- Develop, maintain, and enhance compliance test models for global CLO and private credit transactions using proprietary platforms
- Analyze and interpret complex legal and deal documentation to accurately model compliance requirements
- Apply AI-driven approaches to improve modeling efficiency, scalability, and quality
- Contribute to quality, productivity, and process-improvement initiatives across the modeling function
- Participate in modeling automation, quality control (QC), and tool development or enhancement projects
- Partner closely with business teams to address client challenges, support new feature development, and analyze emerging securitization products
About the Team
The Asset Management - Structured Finance team focuses on delivering high quality compliance modeling solutions across global securitization markets. By joining us, you will be part of the Manager Module Modeling team that plays a critical role in supporting clients by building robust, scalable models and continuously improving processes through innovation, collaboration, and technology.
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
Sourced from naukri
Section · 02
Skills
AutomationStructured FinanceremediationManager Quality ControlProcess ImprovementFinancial engineeringRisk AssessmentC plus plusPythoncompliance
Section · Company
About Moody's Analytics

Moody's Analytics
Analytics & KPO
761
employees
2007
19 years old
New York, New York
United States (USA)
₹17.5L PA avg
Avg at Moody's Analytics
About
Moody's Analytics provides financial intelligence and analytical tools supporting our client's growth, efficiency and risk management objectives.
Industries
Analytics & KPOFinancial Services
Employee ratings
10 reviews
4.0/ 5
Culture
3.6
Career growth
3.2
Work-life
3.5
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