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AML and Sanctions Compliance Analytics Manager

AML and Sanctions Compliance Analytics Manager

1 Month ago • 3 Years + • Data Analyst

About the job

4 skills required for this role

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python

data-science

data-analytics

presentation-skills

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

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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

217 Active Jobs

Tencent is a world-leading internet and technology company that develops innovative products and services to improve the quality of life of people around the world.

Founded in 1998 with its headquarters in Shenzhen, China, Tencent's guiding principle is to use technology for good. Our communication and social services connect more than one billion people around the world, helping them to keep in touch with friends and family, access transportation, pay for daily necessities, and even be entertained.

Tencent also publishes some of the world's most popular video games and other high-quality digital content, enriching interactive entertainment experiences for people around the globe.

Tencent also offers a range of services such as cloud computing, advertising, FinTech, and other enterprise services to support our clients' digital transformation and business growth.

Tencent has been listed on the Stock Exchange of Hong Kong since 2004.