Data Scientist jobs in Malaysia
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Mashreq Bank
Data Scientist (with Data Engineering Skills)
Science Valley Retes Sdn Bhd
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Speedminer Sdn Bhd
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Grab
Lead Data Scientist – Global Reporting & Analysis
Linexcom Sdn Bhd
MT5 Data Analyst & Risk Management
SENGA AI ENTERPRISE
DRSC Global Technology - Analyst, IT App Development - ABAP
Deloitte PLT
Data Analyst
Fairview International School
Senior Data Analyst
SNSoft Sdn Bhd
Data Scientist
Job summary
A leading finance provider in Selangor is looking for a Data Scientist to lead the development of credit scoring models and risk analytics initiatives. The ideal candidate will have a strong background in Python, R, SQL, and credit risk modeling. You will work closely with the risk management team to ensure models comply with regulations and enhance operational efficiency. This role requires 3-6 years of experience, strong analytical skills, and the ability to work with large datasets.
Qualifications
- 3-6 years of relevant experience in credit risk modeling or predictive modeling.
- Familiar with regulatory frameworks related to credit risk (e.g., MFRS 9).
- Excellent analytical thinking and problem-solving skills.
Responsibilities
- Develop, validate, and implement credit scoring models.
- Monitor portfolio performance and risk concentrations.
- Deliver actionable dashboards and insights to management.
Skills
Education
Tools
Our Clientis a Malaysia-based motorcycle hire-purchase financing provider offering quick approvals, flexible 12- 60 month installment plans, and up to 90% financing coverage.
They are seeking fora Data Scientist to lead the development of advanced credit scoring models and broader risk analytics initiatives. This role is crucial in shaping how toevaluate customer applications, manage credit risk, and drive data-driven strategies across the company. You will work closely with risk management team to design and implement models that comply with regulatory standards while enhancing operational efficiency.
- Credit Scoring & Decisioning
- Develop, validate, and implement credit scoring models to assess customer loan applications.
- Automate approval decision processes in collaboration with IT and business teams.
- Monitor portfolio performance, delinquency trends, and risk concentrations.
- Perform data-driven analysis to support collections strategies, fraud detection, and customer behavior insights.
- Provide inputs for MFRS 9 Expected Credit Loss (ECL) modeling and reporting.
- Data Management & Reporting
- Work with SQL, Power BI, Excel, and statistical tools (Python, R) to process, analyze, and visualize data.
- Deliver actionable dashboards and insights to management for informed decision-making.
- Bachelors or Masters degree in Data Science, Statistics, Actuarial Science, Computer Science, Finance, or a related field.
- Strong proficiency in Python, R, SQL, Power BI, and Excel.
- 3-6 years of relevant experience in credit risk modeling, statistical analysis, or predictive modeling. Experience in financial services, fintech, banking, or other data-driven industries will be an advantage.
- Familiarity with regulatory frameworks related to credit risk (e.g., MFRS 9, or similar) is preferred, but candidates with strong quantitative and analytical skills from other industries will also be considered.
- Ability to work with large datasets, perform ETL, and build models that can be deployed for business operations.
- Excellent analytical thinking, problem-solving, and communication skills.
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.