Manager, Credit Risk Data Science (Feature Engineering)
Summary
Build and maintain credit-risk models and scorecards for TNG eWallet, using Python/SQL/R and BI tools to assess default risk and guide lending policies at scale.
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:
- Develop and enhance the Credit Reporting & Monitoring framework which meets the requirements of various external & internal stakeholders.
- Ensure adequate portfolio governance in establishing risk and resiliency levels including the design and development of a set of quantitative metrics with guardrails under which the credit policy and business strategies operate.
- Assist the Head of Credit Risk in enhancement and review of Credit Policies & Standards in order to ensure that these reflect the best practice and regulate the risk assets of the group.
- Provide requirements and design inputs, particularly with regard to credit risk recognition, measurement and its reporting as part of the core team for implementation of key credit risk related projects (e.g. Loan Origination System, Loan Management System, Credit Scoring System).
- Develop, implement and maintain business/ credit policies and systems.
- Develop, implement and maintain quantitative models / scorecards and systems to assess the default likelihood, repayment behavioural, affordability, recovery expectations and volatility for different segments of the retail portfolio.
Role Requirements:
- Good university degree in a quantitative discipline (e.g. Mathematics, Statistics, Financial Engineering etc) with a clear ability for handling data and performing quantitative analysis.
- Strong Excel skills and experience using statistical tools such as SAS, SQL, R, Python (or similar)
- At least 3-7 years of relevant experience in a credit risk management in consumer portfolios.
- Experience with BI software and database management such as Power BI, Tableau, SQL or Cloud BI tools will be essential.
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.