AML and Sanctions Compliance Analytics Manager
Job Summary
Job Description
This role is responsible for utilizing data analytics and model development capabilities to drive AML/sanctions compliance risk analysis and visualization. The role involves collecting and consolidating AML/sanctions compliance data, developing data analytics models, identifying emerging AML/sanctions risks, conducting in-depth analysis of data and generating user-focused insights. The role also involves creating dashboards indicating AML/sanctions risk factors and trends, supporting data model development and validation, UAT and other necessary processes to ensure effective implementation of data analytics solutions. The role requires providing on-going enhancement and maintenance support for continuous improvement of data reliability and model effectiveness. The role also involves undertaking ad-hoc tasks as requested by management.
Must have:
- Bachelor degree in Data science or other relevant disciplines
- 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
- Proficiency in Python or other coding language and experience in data engineering tools
- Good knowledge in AML compliance/financial crime compliance
- Excellent in root cause analysis on internal and external data and processes
- Strong ability to work collaboratively with internal and external counterparts
- Strong communication and presentation skills
- Self-motivated, self-driven and independent
- Proficiency in Mandarin and English
4 skills required
Job Details
Responsibilities
- 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.
Requirements
- 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.
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About The Company
Tencent is a world-leading internet and technology company that develops innovative products and services to improve the quality of life for people around the world.Read MoreEqual Employment Opportunity at TencentAs an equal opportunity employer, we firmly believe that diverse voices fuel our innovation and allow us to better serve our users and the community. We foster an environment where every employee of Tencent feels supported and inspired to achieve individual and common goals.Read More
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