Job Description:
Our client, a global financial firm, is seeking a highly skilled and experienced FCC Data analytics manager to join their dynamic team. As a FCC Data analytics manager, you will play a crucial role in building and enhancing their AML monitoring frameworks, implementing transaction monitoring surveillance systems, and utilizing quantitative analytics to improve the effectiveness of our AML system. You will gain the opportunity to work with skllful global leaders, establishing and pioneering the ever-growing financial industry.
Responsibilities:
- Develop and implement transaction monitoring surveillance systems and customer risk rating models.
- Conduct innovative research and design on AML monitoring frameworks using quantitative analytics and data techniques.
- Develop engines for automatic AML detection threshold tuning to ensure quick reaction to continuous risk changes.
- Provide quantitative analytics support to compliance officers during regulatory visits and enquiries.
- Collaborate with Product & Technology team to improve model effectiveness and extend AML defense line through AI and ML applications.
- Govern anti-money laundering-related risks and formulate identification/disposal strategies.
- Conduct suspicious transaction analysis and write risk/model assessment reports.
Requirements:
- Bachelor's degree or above in computer science/engineering, statistics, mathematics, finance, or similar fields.
- At least 3 years' experience in AML/risk control/fraud management in financial or payments industry,consulting firms, or similar industries.
- Familiarity with domestic and international AML regulatory requirements and money laundering features, motions, and patterns.
- Proficiency in data handling coding (e.g., SQL) and at least one professional analytics tool such as SAS, Python, etc.
- Strong project management skills and ability to lead teams to achieve business goals.
- Excellent communication skills, ability to work under pressure, and a result-oriented mindset.
- Ability to speak in Mandarin
