薪水
面議
工作描述
崗位職責
- 1.Utilize data analytics and model development capabilities to drive the future AML/sanctions compliance risk analysis and visualization.
2.Collect and consolidate AML/sanctions compliance data.
3.Develop strong data analytics models and identify emerging AML/sanctions risks.
4.Conduct in-depth analysis of data and generate user-focused insights.
5.Create dashboards indicating AML/sanctions risk factors and trends.
6.Support data model development and validation, UAT and other necessary processes to ensure effective implementation of data analytics solutions.
7.Provide on-going enhancement and maintenance support for continuous improvement of data reliability and model effectiveness.
8.Undertake ad-hoc tasks as requested by management.
崗位要求
- 1.Bachelor degree in Data science or other relevant disciplines.
2.At least 3 years of experiences working in data analytics and/or data engineering role for anti-money laundering/financial crime compliance/sanctions compliance functions.
3.Proficiency in Python or other coding language and experience in data engineering tools.
4.Good knowledge in AML compliance/financial crime compliance.
5.Excellent in root cause analysis on internal and external data and processes.
6.Strong ability to work collaboratively with internal and external counterparts.
7.Strong communication and presentation skills, with ability to convey complex data driven insights to both technical and non-technical stakeholders.
8.Self-motivated, self-driven and independent.
9.Proficiency in Mandarin and English.
10.This role will frequently travel to Shenzhen.
職位要求
- 推動風險可視
- 整合合規數據
- 開發分析模型
- 深入分析洞見
技能
分析
模型
可視
溝通