Fraud Risk Data Scientist - Drive Fraud Prevention

TNG Digital Sdn Bhd; Kuala Lumpur; On-site; MYR 60,000 - 90,000; Full time

Job summary

Join TNG Digital Sdn Bhd as an Associate Risk Data Scientist in Kuala Lumpur. You will build ML models for fraud detection, analyze large datasets, and collaborate with engineering, product, and BI teams to deploy risk solutions.

Required to have a bachelor’s in CS/DS/ML, 1+ year in data analysis and modeling, proficiency in Python and SQL, and experience with Looker. Strong communication and problem-solving are essential for influencing decisions.

Qualifications

• Bachelor’s degree in computer science, data science, machine learning, or a related technical field.
• 1 year of experience in data analysis, modeling, and visualization.
• Proficiency in Python and SQL; experience with Looker and ML/algorithm development for fraud detection.

Responsibilities

• Identify, analyze and mitigate fraud risks for TNGD platforms.
• Develop and implement ML models to detect and prevent fraudulent activities.
• Design rules and frameworks to identify risk across products.

Skills

Fraud detection modeling

Data analysis

Communication

Education

Bachelor’s degree in CS/DS/ML

Tools

Python

SQL

Looker

Job description

Join TNG Digital Sdn Bhd as an Associate Risk Data Scientist in Kuala Lumpur. You will build ML models for fraud detection, analyze large datasets, and collaborate with engineering, product, and BI teams to deploy risk solutions.

Required to have a bachelor’s in CS/DS/ML, 1+ year in data analysis and modeling, proficiency in Python and SQL, and experience with Looker. Strong communication and problem-solving are essential for influencing decisions.