Associate Financial Engineer

1 - 3 years

25.0 - 30.0 Lacs P.A.

Bengaluru

Posted:2 months ago| Platform: Naukri logo

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Skills Required

Computer scienceremediationData analysisExcelFixed incomeAnalyticalStructured financeData qualityMacrosPython

Work Mode

Work from Office

Job Type

Full Time

Job Description

Location(s): Quay Building 8th Floor, Bagmane Tech Park, Bengaluru, IN Line Of Business: Structured Finance OU(SF OU) Job Category: Credit Analysis Research Experience Level: Experienced Hire 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. 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. The Role / Responsibilities: Update and validate collateral for Structured Finance transactions Work with proprietary datasets and data developers to maintain and improve data quality, consistency and breadth, with a specific focus toward extending our derived data Assist senior members of the team in maintaining and improving data processes. Analyze complex financial fixed-income instruments. Aid in the implementation, customization and use of analytic solutions. Qualifications: Undergraduate/first-level degree (e.g., Bachelor s) or graduate/second-level degree (e.g. MBA, Master s) with 1- 3 years of work experience with an emphasis in financial engineering, computer science, engineering, math, finance, economics, or a related quantitative field preferred. Solid quantitative skills and analytical problem solving ability required. Excellent communication and organizational skills with the confidence to interact with top financial professionals. Demonstrated initiative, enthusiasm and ability to learn quickly and excel as part of a dynamic team. Attention to detail and ability to work and learn independently. Proficient in writing macros using one programming language such as Microsoft Excel VBA, Java, Python, and etc. Proficient in writing SQL queries for data analysis and extraction. Working knowledge of financial concepts and exposure to structured finance.

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