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Job Title: Murex System Analyst
Domain: MEA Tech
Sub-Domain: Risk & Data Science
Experience Level: Junior (L2: 3-5 years)
Location: Kuala Lumpur
Job Summary:
We are seeking a detail-oriented Murex System Analyst to support risk and data science initiatives within the Murex ecosystem. The role involves analyzing system requirements, supporting data workflows, and ensuring seamless integration between Murex and big data platforms such as Hadoop. The ideal candidate will have a strong analytical mindset, basic Murex exposure, and hands-on experience working with data platforms in a banking or financial services environment.
Key Responsibilities:
Gather, analyze, and document business and system requirements related to risk and data analytics
Support integration between Murex systems and Hadoop-based data platforms
Work closely with developers, data engineers, and business stakeholders to deliver functional solutions
Perform data analysis, validation, and reconciliation to ensure data accuracy and consistency
Assist in system testing, UAT support, and defect resolution
Provide L2 support for production issues, including troubleshooting and root cause analysis
Prepare functional and technical documentation for system processes and enhancements
Ensure adherence to SDLC and change management processes
Required Skills:
3-5 years of experience as a System Analyst in banking or financial services
Basic to intermediate knowledge of Murex platform and workflows
Hands-on experience with Hadoop ecosystem
Strong SQL skills with experience in SQL Server 2012
Understanding of data analysis, data mapping, and system integration concepts
Familiarity with Windows Server environments (Windows 2012)
Strong analytical, problem-solving, and communication skills
Experience supporting L2 production environments
Nice-to-Have Skills:
Exposure to risk management or data science use cases in banking
Familiarity with big data tools (Hive, HDFS, Spark)
Understanding of trade lifecycle or financial instruments
Experience working in Agile environments
Knowledge of ETL processes or data warehousing concepts
Basic scripting or automation knowledge
Exposure to reporting or analytics tools for risk and performance monitoring
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