Company Description
SmartPay, launched in May 2019, is a fintech company dedicated to empowering micro, small, and medium enterprises by providing advanced, faster, and cost-effective technology solutions. As of December 2021, SmartPay has over 650 thousand payment acceptance units and over 40 million users. The company enables merchants to accept various forms of payments, including QR Scan to pay, Tap to pay, Facepay, bank cards, and online payment gateways. SmartPay also designs business solutions to support financial inclusion for over 4 million micro and SME retailers in Vietnam. The company is PCI DSS level 1 certified, ensuring top-notch security for card data.
1. Role Overview
The Company continues to expand its payment intermediary ecosystem and financialbanking product offerings, including SME Unsecured Lending products.
We are seeking a Credit Risk & Fraud Risk Manager a Key Person responsible for designing and operating the overall credit risk and fraud risk management framework, leveraging the Company's payment transaction data.
This position serves as an independent risk management function, ensuring an appropriate balance between business growth and risk control, while actively participating in system and process design from the early stage (build from zero).
The role plays a central position within the organization, working closely with Product, Tech, Data, Compliance, and Business teams.
2. Key Responsibilities
A. Risk Policy & Framework
- Develop and issue Credit Risk Policies for SME unsecured lending products.
- Update and implement Fraud Risk Policies covering payment transactions and user behavior.
- Define Risk Appetite and Risk Acceptance Criteria for both lending and payment businesses.
- Design end-to-end credit approval processes, balancing growth objectives with risk control.
- Coordinate with Compliance & Legal to ensure policies comply with applicable regulations (AML, payment intermediary regulations, data protection, etc.).
- Establish and manage the Delegation of Authority (DOA) for material credit and fraud-related decisions.
B. Credit Scoring & Data Analytics
- Collaborate with Data and Tech teams to build and enhance Credit Scoring Models based on payment transaction data (transactional data) and alternative data sources.
- Propose scorecards and cut-off thresholds to automate approval for small-sized or low-risk loans (rule-based decisioning).
- Integrate fraud indicators into credit risk assessment models.
- Monitor model performance, identify model drift or bias, and propose periodic recalibration in line with risk developments.
C. Fraud Risk Management & Transaction Monitoring
- Oversee transaction monitoring activities for payment transactions across the system.
- Design and continuously refine fraud rules, alert logic, thresholds, and escalation matrices.
- Review and approve fraud alerts, including decisions to block or unblock transactions, accounts, or merchants, in accordance with approved policies and delegated authority.
- Conduct root-cause analysis of fraud incidents and propose preventive and corrective measures.
- Coordinate with AML/Compliance teams in reviewing and handling suspicious transactions.
D. Portfolio Monitoring & Post-Disbursement Risk Management
- Monitor the quality of the SME credit portfolio, including early delinquency, warning signals, and loss indicators.
- Work with Business and Collections teams to assess and address early signs of credit deterioration.
- Prepare periodic reports on risk trends and control effectiveness.
3. Requirements
Education & Experience
- Bachelor's degree or higher in Finance, Banking, Risk Management, or related fields.
- Minimum 46 years of experience in SME Credit Risk or Fraud Risk / Payment Risk / Transaction Monitoring.
- Mandatory hands-on experience with unsecured lending or overdraft facilities, or payment/fintech models with large-scale transaction data.
- Preference for candidates with experience in fintech companies, digital banks, e-wallets, or payment gateways.
Skills & Competencies
- Strong understanding of KYB/KYC, Fraud Risk, and Credit Risk in a digital environment.
- Solid capability in analyzing data, cash flows, and transaction behavior.
- Experience with rule engines, monitoring systems, and scoring models is a strong advantage.
- Data-driven mindset, with a willingness to be hands-on during the setup and scaling phase.
- Strong communication and collaboration skills with Tech, Product, and Business teams.
- Good command of spoken English is a plus.
4. Compensation & Benefits:
Competitive package
Full benefits according to company policies (insurance, leave, etc.).
Location: 16th Floor, E-Town Central, 11 Doan Van Bo, Xom Chieu Ward, Ho Chi Minh City.
Time: 9:00 AM - 6:00 PM ( Mon-Fri).