Senior Business Analyst / Data Modeler - Banking & Regulatory Reporting
Unison Group Open At a glance
Senior Risk & Financial Compliance role at Unison Group. Kuala Lumpur · full-time.
Pay not stated Risk & Financial Compliance salary
financeroles summary, based on the employer's posting.
What you'll do
- Gather business needs, analyze them, and turn them into documented functional requirements
- Profile banking data and trace how fields map from source systems to target datasets
- Build and update conceptual, logical, and physical data models for warehouse and data mart work
- Work with architects, ETL developers, and reporting teams to resolve data quality and consistency needs
- Support regulatory, risk, and finance reporting, including governance, reconciliation, workshops, and UAT
What you bring
- At least five years of experience in business analysis and data modeling for banking or related work
- Hands-on skills in data profiling, mapping, modeling, and data mart design, plus knowledge of enterprise warehouses
- You can prepare BRDs, FRDs, FSDs, user stories, and process flows, and support UAT and business validation
- A bachelor's degree in a listed field or a related discipline
Who this fits
This senior role suits someone who can connect banking stakeholders with data and technical teams. The position is onsite in Malaysia.
From the employer
Job Title: Senior Business Analyst / Data Modeler – Banking & Regulatory Reporting
Location: Malaysia
Experience Required: 5+ Years
Role Overview
We are seeking an experienced Senior Business Analyst / Data Modeler with strong banking domain expertise to support enterprise data, analytics, and regulatory reporting initiatives. The ideal candidate will possess a combination of business analysis, data modeling, data mapping, and banking domain knowledge, enabling them to bridge business requirements and data-driven solutions.
Key Responsibilities
• Engage with business stakeholders to gather, analyze, and document business and functional requirements.
• Perform data profiling, data analysis, and source-to-target data mapping activities.
• Design and maintain conceptual, logical, and physical data models.
• Support enterprise data warehouse and data mart initiatives.
• Collaborate with data architects, ETL developers, and reporting teams to ensure data quality and consistency.
• Analyze banking data across multiple source systems and identify data lineage and transformation requirements.
• Support regulatory reporting, risk reporting, and finance reporting initiatives.
• Participate in data governance, data quality, and data reconciliation activities.
• Facilitate workshops, stakeholder discussions, requirement walkthroughs, and UAT sessions..
• Work within Agile and SDLC frameworks while supporting project delivery and governance processes.
Requirements
Core Skills & Experience
Business Analysis
• Strong experience in requirement gathering and stakeholder management.
• Experience preparing BRD, FRD, FSD, user stories, process flows, and business documentation.Strong analytical and problem-solving skills.
• Experience supporting UAT and business validation activities.
Data Analysis & Data Modeling
• Hands-on experience in Data Modeling, Data Profiling, Data Mapping, and Data Mart design.
• Knowledge of enterprise data warehouse concepts.
• Familiarity with Financial Services Data Model (FSDM) is highly preferred.
• Strong understanding of data governance and data quality principles.
Banking Domain Knowledge (Any One or More)
- Finance Analytics
- Credit Risk Analytics
- Credit Scoring & Decision Support
- Treasury & Wealth Management
- Trade Finance
- Retail Banking
- Additional Banking Domains
- Regulatory & Risk Reporting Knowledge
- Technical Skills
Preferred Qualifications
• Bachelor's Degree in Computer Science, Information Systems, Banking, Finance, Business Analytics, or a related field.
• Experience working within banking, financial services, or consulting environments.
• Strong communication and stakeholder management skills.
• Ability to work effectively with both technical and non-technical stakeholders.
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