Data Scientist Assistant Manager
2 weeks ago
We're seeking a passionate and analytical Data Scientist (Assistant Manager level) to join a dynamic organization in the financial technology (fintech) and digital payments industry. This role focuses on credit risk modeling, predictive analytics, and data-driven strategy development.
Key Responsibilities:
- Develop, implement, and maintain quantitative models and scorecards to assess default risk, repayment behavior, and portfolio performance.
- Build and monitor credit scoring and financial forecasting models using advanced predictive tools and data science techniques.
- Conduct model performance tracking, validation, and back-testing to ensure reliability and regulatory compliance.
- Collaborate with internal stakeholders to apply model insights to credit decisions, business strategies, and risk appetite frameworks.
- Use data analysis to identify risk trends, optimize portfolio performance, and uncover business opportunities.
Requirements:
- Degree in Statistics, Mathematics, Data Science, Engineering, or related quantitative field (Master's preferred).
- 5–7 years of experience in data analytics, credit risk modeling, or financial data science.
- Proficiency in R, Python, or SQL for data manipulation and model development.
- Strong analytical thinking, attention to detail, and ability to translate data into actionable insights.
- Experience in consumer lending, banking, or fintech risk analytics is an advantage.
Details:
Location: Kuala Lumpur
Working Hours: Monday–Friday, 8:30am–5:30pm
Salary Range: RM7,500 – RM9,500
Job Type: Permanent
Pay: RM7, RM9,500.00 per month
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