Main responsibilities include:
- 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.
- 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.
- Support site compliance teams in responding to regular or ad-hoc internal and external regulatory inspections, providing regulatory reporting and data support.
- Innovate with technical and algorithm teams to enhance automation in quantitative strategy qualification and improve manual review efficiency through big model-driven methods.
Requirements: - Bachelor's degree or above in relevant fields such as statistics, mathematics, computer science, etc.
- 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.
- Proficient in SQL data processing and skilled in using at least one professional analysis tool, such as SAS, Python, R, etc.
- Strong project management experience, good team collaboration skills, and ability to work under pressure.
- Fluent in English listening, speaking, reading, and writing; proficiency in Chinese communication is preferred.