Regulatory Reporting Data Specialist (SQL, Python, ETL)

Get To Know Our GX Bank Team

GX Bank Berhad - the Grab-led Digital Bank - is the FIRST digital bank in Malaysia, approved by BNM to commence operations. We aim to leverage technology and innovation to serve the financial needs of the unserved and underserved individuals, and micro and small medium enterprises.

We are driven by our shared purpose and passion to bring positive transformation to the banking industry, starting with solutions that address the financial struggles of Malaysians and businesses.

Get To Know The Role

• Develop, maintain, and enhance Nexus workflows to support regulatory reporting automation. Monitor deployment and troubleshoot issues. Also, perform Nexus system administration.
• Collaborate with stakeholders/report owners to gather regulatory reporting requirements.
• Perform data mapping based on requirements, and create or enhance data models within the gold.reg_reporting schema in Snowflake.
• Assist in manual report generation and regulatory reporting-related data sharing requests.
• Ensure timely generation and submission of regulatory reports, including monthly CCRIS LASS report submissions.
• Perform data quality investigations whenever needed for the gold.reg_reporting model and enhance the model if required.
• Perform administrative or ad hoc tasks related to regulatory reporting as requested.
• Build and Run BNM Data Granular Project and Project stream.
  
  

The Must-Haves

• Proven Knowledge in data analysis and report building with 1-3 Years of experience.
• Strong analytical skills and attention to detail with SQL understanding.
• Good knowledge in Advanced SQL and Data warehousing concepts.
• Excellent problem-solving skills and ability to perform ad hoc tasks effectively.
• Experience in interpreting and implementing regulatory guidelines.
• Solid understanding of dimensional modeling (Star/Snowflake schemas) and other data warehousing concepts relevant to regulatory reporting.
• Ability to translate regulatory requirements into effective data models within Snowflake.
• Experience in designing and implementing data pipelines that source data from various systems and load it into Snowflake.
• Ability to write efficient and scalable SQL queries to extract, transform, and load data for regulatory reports.
• Experience in data profiling and data quality analysis using SQL.
• Proficiency in using Git for version control of code (SQL, Python for Airflow).
• Knowledge of CI/CD pipelines for data deployments.
• Ability to adapt to evolving regulatory requirements and learn new technologies quickly