About the Role
We are building a dedicated APAC Risk function and need a data-driven analyst to support decision-making across the region. This role sits at the intersection of risk operations, data analytics, and strategy you will turn raw data into actionable insights that improve how we manage risk.
The Risk Data Analyst will support investigations, risk policy optimisation, internal performance monitoring, and external risk trend analysis across APAC markets including Southeast Asia and South Asia. This is a hands-on role with high visibility to regional leadership.
Key Responsibilities
Risk Reporting & Analytics
- Develop and maintain risk dashboards and regular reporting for APAC markets
- Track and report on key risk metrics: approval rates, false positive rates, fraud/chargeback rates, loss ratios
- Produce periodic risk reports for regional leadership and HQ stakeholders
- Build ad-hoc analyses to support strategic decisions and business reviews
External Risk & Market Intelligence
- Track country, corridor, partner, and business-model risk trends across APAC
- Support market entry, product launches, and partner reviews with risk data
- Contribute to regulator-facing and senior management reporting packs when required
Performance Monitoring
- Track operational performance metrics for risk review teams (turnaround time, quality, productivity)
- Develop scorecards and KPIs for internal team performance management
- Identify bottlenecks and inefficiencies in risk operations through data analysis
- Benchmark performance against industry standards and internal targets
Policy & Risk Engine Optimization
- Analyze transaction data to identify opportunities for risk rule refinement
- Evaluate effectiveness of existing risk controls and recommend improvements
- Support A/B testing and impact analysis for policy changes
- Provide data-driven input for risk engine tuning and threshold optimization
- Monitor external trends (fraud typologies, regulatory changes, market shifts) and assess implications
Requirements
- Experience: 4-6 years in risk analytics, data analysis, or financial crime/AML analytics
- Industry: B2B cross-border payments experience required from payment companies, remittance providers, trade finance, or banking
- Technical Skills: Strong SQL skills; proficiency in Python or R for data analysis; experience with BI tools (Tableau, Power BI, or similar)
- Domain Knowledge: Understanding of payment risk concepts fraud typologies, AML red flags, transaction monitoring, chargeback management
- Analytical Mindset: Ability to translate business questions into data queries and present findings clearly
Preferred Qualifications
- Experience with risk engines or rule-based decisioning systems
- Familiarity with machine learning concepts for fraud detection
- Experience building automated reporting pipelines
- Mandarin language proficiency
- APAC market experience, particularly Southeast Asia or South Asia
- CAMS, ICA, or equivalent AML certification
