We are looking for a senior analytics professional to strengthen Ant International's Anti-Money Laundering (AML) risk detection capabilities. You will work closely with compliance, risk strategy, and technical teams to design and enhance AML analytics models, improve risk signals, and support regulatory readiness across multiple markets.
Key Responsibilities
- Own and enhance AML data quality, governance, and analytical frameworks.
- Identify and quantify AML risk typologies using data-driven methods and model-based triggers.
- Translate AML, regulatory, and business requirements into detection logic, analytical features, and risk indicators.
- Support regulatory inspections by preparing data analysis, reporting, and documentation for MAS and other regulators.
- Partner with algorithm/engineering teams to optimize risk model performance and reduce manual review effort.
- Collaborate with compliance and investigation teams to convert analytical findings into actionable risk-control plans.
- Develop dashboards, reports, and monitoring tools to track risk trends, signal performance, and typology evolution.
Minimum Qualifications
- 5+ years of experience in AML analytics, financial crime analytics, data science, or risk modeling within banking, fintech, third-party payments, or consulting.
- Strong experience translating AML/FC/TM/EDD concepts into analytical solutions (e.g., triggers, segmentation, network analysis, typologies).
- Proficiency in SQL and at least one analytical language (Python, R, SAS, etc.).
- Experience collaborating with compliance, risk, and engineering teams.
- Strong written communication for regulatory-facing documentation and internal reporting.
- Fluent in English; proficiency in Chinese is preferred for cross-market collaboration.
Preferred Experience
- Prior exposure to MAS inspections, audits, STR reporting, or financial crime investigations.
- Experience with network analytics, customer profiling, segmentation, or ML-based triggering.
- Experience in a high-volume transaction data environment or payments ecosystem.
