Data Analytics Manager
7 days ago
What you are expected to do:
- Utilize credit bureau data and other relevant data sources to create proposition solutions for banks and non-banks on retail and SME loan portfolios.
- Handle and manipulate large data sets using SAS, Python, and R
- Support the development and implementation of advanced analytics models for risk management and credit scoring using SAS or similar tools.
- Collaborate with cross-functional teams to deliver data-driven actionable insights and recommendations.
- Continuously monitor and improve data quality to ensure accuracy and completeness.
- Use statistical and data visualization techniques to present data in a clear and compelling way.
- Stay up to date with the latest developments in the banking and credit risk management industry.
What qualifies you for the role.
- The role requires a good understanding of statistical and data visualization techniques, with the ability to communicate complex data concepts to non-technical stakeholders.
- Bachelor's or master’s degree in a related field (e.g., statistics, mathematics, computer science, etc.)
- Minimum of 4 years of experience in analytics, with a focus on credit risk management and/or banking
- Knowledge of data and modelling tools such as SAS, Python
- Strong experience working with large data sets and databases, advanced data handling skills and proficiency in data manipulation
Pay: RM13,876.81 - RM18,896.51 per month
**Benefits**:
- Cell phone reimbursement
- Flexible schedule
- Health insurance
- Work from home
Schedule:
- Monday to Friday
-
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