AML Manager – Model Validation/Data Analytics
Hong Kong
Bank of China (Hong Kong)
Responsibilities:
- Perform qualitative and quantitative validation on AML models, including machine learning models
- Assess model logic, assumptions and technical approaches, and evaluate model implementation and performance
- Perform data analysis and data quality check on large data sets through the use and/or development of algorithms
- Manage validation process including planning, executing project activities, monitoring milestones, controlling quality of deliverables
- Liaise with different internal or external parties on the fact-based validation results
- Prepare validation reports and communicate to the management, auditors, and other related stakeholders
- Establish and review policies and procedural guidelines regularly
Requirements:
- Degree or above in Financial Mathematics, Data Science, Statistics, Finance, Computer Science, Economics, or related disciplines
- Experience in model-related activities such as development, implementation, application or validation of varying models in financial services industry is preferred
- Proficiency in technical tools such as Python, SAS
- Relevant qualification in ACAMS, ECF (AML/CFT) Core Level is preferred
- Candidates with IT Audit Experience are also considered
- Strong problem-solving ability with passion for analytic excellence
- Able to work independently and under pressure
- Good command of written and spoken English and Chinese
- Familiar with Chinese and English word processing
#LI-CT1
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
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Categories:
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Tags: Computer Science Data analysis Data Analytics Data quality Economics Finance Machine Learning Mathematics ML models Python SAS Statistics
Region:
Asia/Pacific
Country:
Hong Kong
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