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Asst Dir-Financial Engineer

Bengaluru, Karnataka

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Date de publication
05/28/2026
ID de l'offre
13736
Niveau d'expérience
Experienced Hire
Catégorie d'emploi
Credit Analysis & Research
Secteur d'activité
Asset Mgmt

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

  • Strong experience in structured finance analytics (RMBS, ABS, CMBS, CLOs) and cashflow modeling to support client solutions
  • Proficiency in programming (Python, SQL or similar) and experience building analytical tools and API-based workflows
  • Ability to translate client requirements into scalable, data-driven solutions and workflows
  • Strong problem-solving and debugging skills to enhance analytics and model performance
  • Effective communication skills to engage with both technical and non-technical stakeholders
  • Exposure to automation, data pipelines, or AI/ML techniques preferred for scalable solution delivery

Education

  • Bachelor’s or Master’s degree in Engineering, Finance, Mathematics, Economics, Computer Science, or a related field
  • Experience with 5+ years of experience.

Responsibilities

  • Deliver client-driven analytics solutions and structured finance models while driving product adoption, automation, and scalable analytics workflows.
  • Partner with global clients to understand requirements and deliver customized analytics solutions
  • Develop and maintain structured finance models and client-specific analytical workflows
  • Support client onboarding, demos, and proof-of-concepts in collaboration with sales teams
  • Build scalable solutions using APIs, automation, and internal analytical platforms
  • Collaborate with product and technology teams to enhance features and improve usability
  • Troubleshoot models and analytics outputs to improve accuracy and performance
  • Identify opportunities to streamline workflows and improve data quality and efficiency
  • Mentor junior team members and contribute to cross-functional initiatives

About the team

Our Structured Finance & Client Solutions team is responsible for delivering client-centric analytics and data-driven solutions across structured finance asset classes.
The team contributes to Moody’s by:
Driving client adoption and engagement through customized analytics solutions
Supporting product innovation by translating client needs into platform enhancements
Enhancing scalability and efficiency through automation, APIs, and advanced analytics
By joining our team, you will be part of a global function working at the intersection of finance, analytics, and technology, supporting diverse client use cases.


Moody’s is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender expression, gender identity or any other characteristic protected by law.

Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody’s Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.

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