Associate Director, Financial Risk & Modelling

TNG Digital; Kuala Lumpur; On-site; MYR 180,000 - 260,000; Full time

Benefits offered by this job

Medical coverage

Monthly lifestyle allowance via TNG eW

Extra leave for family and caregiving

Mobile and broadband reimbursement

Discounts and wellness perks

Job summary

TNG Digital, part of TNG Digital Group, is seeking a senior risk analytics leader in Kuala Lumpur to design credit and fraud risk frameworks aligned with BNM expectations. You will drive risk appetite settings, monitor portfolio performance, and lead data-driven decision engines across BNPL, digital banking, and e-money ventures.

You will collaborate with Product, Technology and Data teams to advance analytics maturity, implement real-time risk monitoring, and mentor a high-performance analytics

Qualifications

• Bachelor’s degree in Finance, Economics, Statistics, Mathematics, Actuarial Science, Computer Science, or related quantitative discipline.
• 7-10 years of experience in credit risk, fraud risk, analytics and modelling in banking, digital banking or fintech.
• Hands-on data analysis and modelling experience; SQL, Python or R, statistical methods, credit scoring, decision engine design, or fraud analytics.
• Experience translating complex quantitative analysis into strategy for senior stakeholders.

Responsibilities

• Lead design and execution of credit and financial risk frameworks aligned with regulatory expectations and risk appetite.
• Set and enforce credit risk appetite parameters and monitor portfolio risk metrics.
• Conduct scenario analysis and stress testing on credit exposures and tail-risk factors.
• Lead fraud risk strategy and develop ML-based detection across digital channels.
• Partner with Tech and Data teams to ensure scalable, auditable risk analytics pipelines.

Skills

SQL

Python/R

Statistical methods

Credit scoring

Decision engine design

Fraud analytics

Big data analytics

AI model experience

Education

Bachelor’s degree in Finance, Economics, Statistics, Mathematics, Actuarial Science, Computer Science, or related quantitative discipline

Tools

SQL

Python (Pandas) / R

Job description

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.

What You'll Do:

• Lead the design and execution of credit and financial risk frameworks aligned with BNM regulatory expectations, internal risk appetite, and fintech operating models
• Set and enforce credit risk appetite parameters — default rates, charge-off thresholds, exposure limits by product and counterparty
• Monitor portfolio risk metrics (approval quality, portfolio performance trends, loss rates, concentration exposure) and proactively recommend mitigation actions
• Conduct scenario analysis and stress testing on credit exposures; surface tail-risk concentrations and diminishing-return points in risk-reduction strategies
• Ensure the Group maintains current knowledge of BNM regulatory requirements for electronic money, digital financial services, and AML/CFT; lead gap assessments and remediation programmes where required
• Require first-line adherence to credit and risk policy; issue binding risk findings where breaches are identified

Financial Risk Analytics & Modelling

• Lead fraud risk strategy execution — covering account takeover, application fraud, transaction fraud, merchant collusion, and social engineering typologies
• Design, calibrate, and govern fraud detection rule sets and machine-learning models across digital channels, including real-time transaction monitoring and post-event investigation
• Establish fraud risk appetite metrics and KRIs; monitor loss rates, false-positive ratios, and investigation throughput against thresholds
• Lead credit and financial risk analytics — consumer credit products (BNPL, micro-lending), merchant credit exposure, and counterparty risk from payment partners
• Develop and govern credit assessment models and decision engines — alternative data scoring, behavioural risk profiling, and dynamic limit management
• Drive advanced analytics adoption (machine learning, graph/network analysis, anomaly detection) for both fraud detection and credit scoring
• Partner with Technology and Data Engineering to ensure risk analytics pipelines are production-grade, auditable, and scalable
• Leverage alternative data sources (e.g., telco, e-wallet usage, transactional data, behavioural signals) to improve thin-file customer underwriting
• Support the design and optimization of automated, real-time credit decision systems for seamless digital onboarding
• Drive continuous improvement of risk models to balance growth, customer experience, and portfolio quality
• Keep abreast of emerging fintech trends (AI/ML, open banking, embedded finance) and evaluate applicability to risk strategy

Stakeholder Management & Leadership

• Act as a key risk partner to Product, Business, and Technology teams to support responsible growth; embed risk-by-design principles into new product launches and channel expansions
• Translate complex analytical outputs into clear, actionable insights and strategy recommendations for senior stakeholders, including the Board Risk Committee
• Present portfolio performance, model outcomes, and risk recommendations at leadership forums and board level
• Build, lead, and retain a high-performance analytics team across fraud and credit domains; set performance standards tied to measurable outcomes — loss reduction, model quality, risk appetite adherence
• Foster a data-driven risk culture within the organisation; mentor analysts on statistical methods, regulatory interpretation, and strategic communication

Role Requirements:

• Bachelor’s degree in Finance, Economics, Statistics, Mathematics, Actuarial Science, Computer Science, or related quantitative discipline
• 7-10 years of experience in credit risk, fraud risk, analytics, and modelling within banking, digital banking, or fintech environments
• Hands-on proficiency in data analysis and modelling — SQL, Python or R, statistical methods, credit scoring, decision engine design, or fraud analytics
• Working knowledge of BNM regulatory requirements for digital financial services, e-money, and fraud/credit risk management
• Experience translating complex quantitative analysis into strategy and presenting to senior stakeholders (board, C-suite, regulators)
• Experience building and scaling risk analytics teams; performance management tied to outcomes, not activity
• Hands-on big data analytics, AI model, feature engineering, time-series and forecasting
• Agentic AI experience is a plus
• Proven ability to collaborate and influence cross-functional teams

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.