Fraud & AML Analytics Manager

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Description

Main responsibilities include:

1. Responsible for the governance of underlying anti-money laundering/sanctions/global trade compliance data to ensure the accuracy and completeness of data used by strategies, models, and systems.
2. Drive the identification and management of anti-money laundering/sanctions/global trade compliance risks using data-driven methods, assisting compliance officers in formulating effective risk control plans.
3. Support site compliance teams in responding to regular or ad-hoc internal and external regulatory inspections, providing regulatory reporting and data support.
4. Innovate with technical and algorithm teams to enhance automation in quantitative strategy qualification and improve manual review efficiency through big model-driven methods.

Requirements:

1. Bachelor's degree or above in relevant fields such as statistics, mathematics, computer science, etc.
2. At least two years of experience in big data risk control analysis and modeling, preferably in industries such as banking, third-party payment institutions, or fintech, with a preference for anti-money laundering/sanctions/global trade compliance experience.
3. Proficient in SQL data processing and skilled in using at least one professional analysis tool, such as SAS, Python, R, etc.
4. Strong project management experience, good team collaboration skills, and ability to work under pressure.
5. Fluent in English listening, speaking, reading, and writing; proficiency in Chinese communication is preferred.