Moody's Credit Risk Solution Architect

1 week ago

Singapore RISKINSIGHT CONSULTING PTE. LTD. Full time

We are seeking Moody’s Credit and Liquidity Risk Techno-Functional SOLUTIONS ARCHITECT with expertise in both in-depth knowledge of financial risk modeling and optimization in Informatica and Moody's RAY, RCO products to provide expert technical guidance and support to clients for implementation of Moody's Knowledge software.

**Job Description**:
This roles primarily needs;
Collaborate with clients and internal teams to design and architect end-to-end technical solutions using Informatica and Moody's Knowledge, considering data integration, data quality, and data governance aspects.

Implement data quality rules and controls using Informatica Data Quality (IDQ) or similar tools to ensure data accuracy, consistency, and compliance with regulatory requirements

Prepare technical documentation, including solution architecture, design specifications, and user guides. Conduct training sessions or workshops for clients and end-users to educate them on the implemented solutions

Requirements:

- Bachelor's degree in Computer Science, Engineering, with 10+ years of experience performing software design and development with extensive experience in end-to-end setup of Moody’s RAY, RCO products and Implementation of Liquidity Risk metrics and Credit Risk metrics
- Must be able to set up both technical and functional Moody’s product configurations independently troubleshooting and resolve runtime issues.
- Must Have database skills including SQL, Stored Procedures, PL/SQL scripting, Hive, Teradata, Oracle, UNIX, Autosys, and Big Data technologies such as Apache Spark, MongoDB, Hadoop, Apache Kafka, Rest/SOAP to conduct comprehensive testing of Informatica and Moody's Knowledge solutions to ensure their functionality, reliability, and adherence to client requirements.
- Experience in designing and developing data pipelines using ETL Tools including Informatica PowerCenter and Talend Data Integration.
- Proven Experience working with cloud technologies such as AWS and Snowflake and in core database development using native tools/methods.
- Experience with scheduling tools like Autosys Scheduler, Control-M, Zena and scripting languages such as shell and Scala.
- Experience working on operating systems, including Windows and Unix.
- Familiarity with SDLC processes, including Agile and Waterfall.

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