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300 Supply Chain Management Jobs in Noida

Loan Reference Data Associate, Asset Services

S&P Global Inc.

4.2

based on 1.3k Reviews

4-8 years

Noida, Gurgaon / Gurugram

1 vacancy

Loan Reference Data Associate, Asset Services

Security and Intelligence Services (India)

posted 4d ago

Job Role Insights

Key skills for the job

Data Analysis Supply Chain Management SQL MS Office Home Loans PDF

+ 3 more

Job Description

Responsibilities and Impact:

Loan Reference Data (LRD) Operations is a liaison between clients, S&P Global WSOWeb, S&P Global WSOData and S&P Global Loan Pricing. The team analyzes, handles, and organizes all the initial data deal setup. S&P currently has an opening for a Loan Reference Data Analyst to assist with the day-to-day operations of the business. The role also includes enhancing existing practices and alternatives to ensure smooth delivery of data. The successful candidate will work closely with colleagues globally in Gurgaon, Noida, Kuala Lumpur, Dallas, New York, Manchester, and London.

Responsibilities:

Analyze all aspects of the new deal closing, credit agreements, amendments, and restructures
Process data, manage exceptions, creation of new assets, and interact with clients
Create new loans in S&P Global WSOData and set up current contracts and amortization schedules
Create new assets in S&P Global WSOWeb (Bonds, CDS, ABS, Equities)
Review and recommend changes to policies and procedures to improve data and auditing
Maintain documentation library by requesting and updating documents
Manage all loan identifiers
Perform ad hoc reporting, analysis, and investigate issues providing explanations and interpretation
Protect the business through documentation, policies and procedures, metrics, and data validations
Interact with appropriate individual/entities to gather all pertinent information to reflect the accuracy of the referential data
Provide quality assurance checks on credit data
Additional ad hoc responsibilities within the team

What We re Looking For:

Basic Required Qualifications:

Bachelor s degree/Post Graduate or equivalent in Finance, Economics or Business preferred but not required
Strong data analysis skills, ability to query and analyze large volumes of financial data
Work in fast paced environment with the ability to multitask
Must be able to document processes thoroughly and be well organized
Detail oriented and shows initiative
Ability to work well individually, as well as in a global team environment; capable of operating within our team and across other teams.
Advanced Excel skills, working knowledge with MS Office, Access Database and SQL query a plus
General knowledge of syndicated loan market, credit agreements, Moody s and S&P corporate rating structure and methodology is a plus