Associate Manager, Financial Risk & Modelling

TNG Digital; Kuala Lumpur; Presencial; MYR 90 000 - 160 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Medical coverage

Extra leave for family and caregiving

Monthly lifestyle allowance via TNG eW

Mobile and broadband reimbursement

Discounts and wellness perks

Resumo da oferta

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.

Qualificações

• 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.

Responsabilidades

• 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.

Conhecimentos

SQL

Python

R

Statistical analysis

Data visualization

Risk analytics

Credit risk

Formação académica

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

Ferramentas

SQL

Python

R

Power BI

Descrição da oferta de emprego

At TNG Digital, part of TNG Digital Group, we build the tech behind TNG eWallet, one of Malaysia’s most used apps for payments and everyday life.

Millions of people rely on us daily, not just to pay, but to manage money, access financial services, and get things done faster and simpler.

Behind it all is a team that likes to question how things are done, move quickly, and try new ideas. If you enjoy solving real problems and seeing your work used at scale, you will feel right at home here.

Role Overview:

Responsible for supporting the development, monitoring, and enhancement of credit risk, fraud risk, and financial risk analytics across the Group's digital financial services ecosystem. The role will perform data-driven analysis, monitor portfolio performance, contribute to risk model development, and provide actionable insights to support prudent business growth while ensuring compliance with regulatory requirements. Based on the VP-level role's focus on risk analytics, portfolio monitoring, and regulatory compliance.

What You'll Do:

• Monitor key risk indicators (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.

Financial Risk Analytics & Modelling

• Conduct portfolio analysis to assess credit quality, customer behaviour, and risk performance.
• Assist in the development, validation, and enhancement of credit scoring and fraud detection models.
• Perform data extraction, cleansing, and analysis using SQL, Python, R, or relevant analytical tools.
• Support investigation of fraud incidents and identify patterns to improve detection capabilities.
• Monitor model performance and recommend recalibrations where necessary.
• Analyse customer transactional, behavioural, and alternative data to derive risk insights.
• Support automation and digitalisation of risk monitoring processes.
• Participate in data quality and risk data management initiatives.
• Assist in stress testing, scenario analysis, and ad hoc risk assessments.

Role Requirements:

• 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.

What you get

Work your way

• Medical coverage, with option to include dependants
• Extra leave for family and caregiving needs

Rewards that grow with you

• Monthly lifestyle allowance via TNG eWallet
• Long-term rewards for your contributions

Everyday support

• Mobile and broadband reimbursement
• Discounts and wellness perks

What it’s like to work here

We care about people who take ownership, speak up, and want to make things better. Titles matter less than impact. Good ideas can come from anyone.

You will be working with people who are curious, practical, and not afraid to challenge each other in a good way.

Note

Only shortlisted candidates will be contacted.