About the Role
Role Overview
This internship provides hands-on experience in fintech risk modelling, where interns work with
the Data Science team on credit risk or payment risk problems used in real production systems.
Duration: 6 months
Location: Malaysia
Target: Final-year (4th year) undergraduates, or postgraduates in Data Science, AI, CS, Engineering
Key Responsibilities
• Analyse large-scale transactional and behavioural datasets using SQL and Python
• Build, test, and evaluate machine learning models for credit or payment risk
• Perform feature engineering, data validation, and performance analysis
• Investigate fraud patterns, model errors, and stability issues
• Communicate technical findings clearly to team members
Required Qualifications
• Final-year undergraduate in Data Science, AI, Computer Science, or Engineering
• Proficiency in Python for data analysis and modelling
• Ability to write SQL queries for data extraction and analysis
• Under...
This internship provides hands-on experience in fintech risk modelling, where interns work with
the Data Science team on credit risk or payment risk problems used in real production systems.
Duration: 6 months
Location: Malaysia
Target: Final-year (4th year) undergraduates, or postgraduates in Data Science, AI, CS, Engineering
Key Responsibilities
• Analyse large-scale transactional and behavioural datasets using SQL and Python
• Build, test, and evaluate machine learning models for credit or payment risk
• Perform feature engineering, data validation, and performance analysis
• Investigate fraud patterns, model errors, and stability issues
• Communicate technical findings clearly to team members
Required Qualifications
• Final-year undergraduate in Data Science, AI, Computer Science, or Engineering
• Proficiency in Python for data analysis and modelling
• Ability to write SQL queries for data extraction and analysis
• Under...
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