Responsibility
· Statistical Data Analysis:
1. Handle data cleaning & preparation of raw acquired data from internal and external data sources by designing scripts and tools for automatic extraction.
2. Carry out data exploration & analysis by using statistical tools, machine language / artificial intelligence techniques to explore and analyse data, identifying patterns, relationships, and trends.
3. Generate data visualization of data findings through charts, graphs, and dashboards.
4. Prepare reporting and presentations to communicate the insights and findings from the data to stakeholders for departmental process optimization and reporting solutions.
5. Work with support, development and product teams for performance fine tuning and the implementation of the solution model to streamline processes and increase productivity.
6. Develop and maintain data mining and reporting procedures guide for use in department standardization and training.
· Risk Management:
1. Use a data-driven approach to evaluate payments risk and design effective prospect from acquiring / issuing aspect policies and rules and carry out back testing of policy rules.
2. Conduct regular research, identify in-market risk, provide fact-based market insights, trends and strategies thought to assist in managing the fraud risk.
3. Work with team members to identify gaps in payment risk management rules and develop appropriate fraud mitigation strategies to meet market trends.
4. Monitor and recommend adjustments to pre-existing and new rule sets balancing operational risks in monthly basis.
5. Generate analysis reports, conduct presentations, and process documents to display internal / external requirements and results to clients and management.
Requirement
· Bachelor’s degree in related field or equivalent work experience
· At least 1-2 years of banking experience in designing rules/data analytic role related work experience directly related to complex and sensitive investigations.
· Knowledge in script design for PostgreSQL and MYSQL
· Knowledge in BigData, Elastic Stack (ELK), ETL tools, Python, PowerBI, R, C++
· Proficient in Excel Macro, MS Office & MS PowerPoint.
· Excellent work ethic (respectful, honest, considerate, self-motivated, can reliably work independently and works well under pressure) & judgment and assessment skills
Job Type: Permanent
Pay: Up to RM4,500.00 per month
Benefits:
- Free parking
- Health insurance
- Work from home
Experience:
- Data analysis skills: 1 year (Required)
Language:
- Mandarin (Preferred)
Work Location: In person
