Credit Risk Data Scientist: Modeling & Insights

Agensi Pekerjaan Great Pyramid Sdn Bhd; Kapar; On-site; MYR 60,000 - 90,000; Full time

Job summary

A leading financing provider in Malaysia is seeking a Data Scientist to lead the development of credit scoring models and risk analytics initiatives. You will work closely with the risk management team to evaluate customer applications and enhance operational efficiency. The ideal candidate will have a Bachelor's or Master's degree in a relevant field, experience in credit risk modeling, and proficiency in Python, R, SQL, and Power BI. This role offers a dynamic opportunity to shape data-driven strategies in a growing company.

Qualifications

• 3-6 years of experience in credit risk modeling, statistical analysis, or predictive modeling.
• Familiarity with regulatory frameworks related to credit risk (e.g., MFRS 9, or similar) is preferred.
• Ability to work with large datasets, perform ETL, and build models.

Responsibilities

• 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.
• Provide inputs for MFRS 9 Expected Credit Loss (ECL) modeling and reporting.

Skills

Python

R

SQL

Power BI

Excel

Education

Bachelor's or Master's degree in Data Science, Statistics, Actuarial Science, Computer Science, Finance, or a related field

Tools

Statistical tools (Python, R)

Job description

A leading financing provider in Malaysia is seeking a Data Scientist to lead the development of credit scoring models and risk analytics initiatives. You will work closely with the risk management team to evaluate customer applications and enhance operational efficiency. The ideal candidate will have a Bachelor's or Master's degree in a relevant field, experience in credit risk modeling, and proficiency in Python, R, SQL, and Power BI. This role offers a dynamic opportunity to shape data-driven strategies in a growing company.