Loan Reference Data, Sr. Analyst, Asset Services

S&P Global; Kuala Lumpur; On-site; MYR 60,000 - 90,000; Full time

Job summary

A financial services company in Kuala Lumpur is seeking a Loan Reference Data Analyst to assist with operations involving loan data management, analysis, and documentation. The successful candidate will interact with clients and work across global teams, demonstrating strong analytical skills and advanced Excel proficiency. You will play a vital role in analyzing new deals, processing data, and ensuring the accuracy of referential data, contributing to the smooth operation of the business.

Qualifications

• Bachelor’s degree or equivalent preferred but not required.
• Ability to document processes thoroughly and be well organized.
• Ability to work in a fast-paced environment.

Responsibilities

• Analyze aspects of new deal closing, credit agreements, and restructures.
• Process data and manage exceptions while interacting with clients.
• Maintain documentation library by requesting and updating documents.

Skills

Strong data analysis skills

Ability to query and analyze large volumes of financial data

Advanced Excel skills

Detail oriented

Ability to work well individually and in a team

Education

Bachelor’s degree/Post Graduate in Finance, Economics, Computer or Business

Tools

MS Office

Access Database

SQL query

Job description

About the Role

Grade Level (for internal use): 08

S&P's Loan Reference Data product services internal clients as well as external clients and is focused on providing loan data and tracking to be used in the broader marketplace.

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.

We currently have 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

Qualifications

• Bachelor’s degree/Post Graduate or equivalent in Finance, Economics, Computer 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

Equal Opportunity Employer

S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment.

If you need an accommodation during the application process due to a disability, please send an email to: [e-mail] and your request will be forwarded to the appropriate person.