Head of Asia Data Analytics
5 days ago
We are seeking a highly skilled and experienced professional to join our team as the Head of AML Analytics in the Asia Cluster.
About the Role:
- The successful candidate will be responsible for managing and presenting efficiency analysis to various stakeholders to improve efficiency and effectiveness.
- They will lead the development and leverage of innovative analytics-based techniques to query, analyze, and produce outcomes that identify AML Risk and Client risk.
- The ideal candidate will have exceptional research and analytical skills, business acumen, strategic and creative thinking, project leadership skills, and multi-tasking capabilities.
- They will also have hands-on experience across AML/Fraud/Cyber/Sanctions/Corruption/Anti-Bribery Risks and Typologies domain, as well as transaction monitoring processes used to mitigate these risks.
- A strong understanding of graph theory/network analysis and tools is a plus.
- The candidate must be able to analyze large sets of complex data, draw meaningful conclusions, and make business recommendations based on analysis.
Key Responsibilities:
- Develop and implement effective AML analytics strategies to improve detection and prevention of financial crime.
- Lead a team of analysts to conduct data mining/query functions across relational or big data databases utilizing various data analytics toolsets and methods.
- Manage the team to support and/or run global/regional communications for any and all analytics byproducts produced by the Asia-based analytics team and ensure requirements are met and accepted.
- Present and effectively communicate recommendations to senior leadership.
- Lead the team in the development, testing, and training of new or enhanced tactical solutions or strategic system applications.
Requirements:
- 8+ years' experience using data analytics tools and methods.
- Exceptional understanding & hands-on experience across AML/Fraud/Cyber/Sanctions/Corruption/Anti-Bribery Risks and Typologies domain, as well as transaction monitoring processes used to mitigate these risks.
- Strong research and analytical skills, business acumen, strategic and creative thinking, project leadership skills, and multi-tasking capabilities.
- Hands-on experience with graph theory/network analysis and tools is a plus.
- Ability to analyze large sets of complex data, draw meaningful conclusions, and make business recommendations based on analysis.
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