Risk Analytics Lead - Credit & Fraud Modelling

TNG Digital; Kuala Lumpur; On-site; MYR 90,000 - 160,000; Full time

Benefits offered by this job

Medical coverage

Extra leave for family and caregiving

Monthly lifestyle allowance via TNG eW

Mobile and broadband reimbursement

Discounts and wellness perks

Job summary

TNG Digital in Malaysia is seeking a data-driven Senior Risk Analytics professional to support credit risk, fraud risk, and financial risk analytics across the Group's digital financial services ecosystem.

You will perform data-driven analysis, monitor portfolio performance, contribute to risk model development, and provide actionable insights while ensuring regulatory compliance. This VP-level focus emphasizes risk analytics, portfolio monitoring, and governance.

Qualifications

• Degree in Finance, Economics, Statistics, Mathematics, Actuarial Science, Data Science, Computer Science, or related quantitative disciplines.
• 3 to 5 years of experience in risk analytics, credit risk, fraud risk, financial services analytics, digital banking, fintech, or related fields.
• Proficiency in SQL and at least one analytical programming language (Python or R).
• Familiarity with statistical analysis, data visualisation, and reporting tools.
• Understanding of credit risk concepts, fraud risk management, and portfolio analytics.

Responsibilities

• Monitor KRIs, portfolio performance, delinquency trends, fraud losses, and exposure concentrations.
• Support periodic review of credit and fraud risk policies and procedures.
• Prepare risk reports and dashboards for management review.
• Assist in identifying emerging risk trends and recommend mitigation actions.
• Support regulatory compliance monitoring and risk governance initiatives.
• Conduct portfolio analysis to assess credit quality and risk performance.
• Assist in development, validation, and enhancement of credit scoring and fraud detection models.
• Perform data extraction, cleansing, and analysis using SQL, Python, R, or relevant tools.
• Monitor model performance and recalibrate as needed.
• Analyze customer transactional, behavioural, and alternative data for risk insights.
• Support automation and digitalisation of risk monitoring processes.

Skills

SQL

Python

R

Statistical analysis

Data visualization

Risk analytics

Credit risk

Education

Bachelor's degree in Finance, Economics, Statistics, Mathematics, Actuarial Science, Data Science, or Computer Science

Tools

SQL

Python

R

Power BI

Job description

TNG Digital in Malaysia is seeking a data-driven Senior Risk Analytics professional to support credit risk, fraud risk, and financial risk analytics across the Group's digital financial services ecosystem.

You will perform data-driven analysis, monitor portfolio performance, contribute to risk model development, and provide actionable insights while ensuring regulatory compliance. This VP-level focus emphasizes risk analytics, portfolio monitoring, and governance.