senior data analyst
3 weeks ago
We are Malaysia's leading Credit Reporting Agency (CRA) and we are aggressively expanding our business, looking for dynamic, driven, and motivated individuals to join our team. Our Direct-To-Consumer segment (D2C) is one of our fastest-growing product areas in the market, with an abundance of expansion plans and innovative ideas on hand.
Job Summary:
CTOS Data Systems is seeking a Data Analyst/Manager to join our team in KL, Malaysia. This individual will be responsible for utilizing credit bureau and other relevant data to create proposition solutions for banks and non-banks on retail and SME loan portfolios. The role requires strong data handling capabilities, as well as advanced knowledge of SAS, Python, and R. Additionally, the ideal candidate will have a background in banking and credit risk management.
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 candidate should have experience in handling and manipulating large data sets.
- Candidate is expected to have a background in banking and credit risk, specifically in retail and SME banking.
- 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 modeling tools such as SAS, Python, and R.
- Strong experience working with large data sets and databases, advanced data handling skills, and proficiency in data manipulation.
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