AML Manager – Model Validation/Data Analytics

Hong Kong

Applications have closed

Responsibilities:

  1. Perform qualitative and quantitative validation on AML models, including machine learning models
  2. Assess model logic, assumptions and technical approaches, and evaluate model implementation and performance
  3. Perform data analysis and data quality check on large data sets through the use and/or development of algorithms
  4. Manage validation process including planning, executing project activities, monitoring milestones, controlling quality of deliverables
  5. Liaise with different internal or external parties on the fact-based validation results
  6. Prepare validation reports and communicate to the management, auditors, and other related stakeholders
  7. Establish and review policies and procedural guidelines regularly

Requirements:

  1. Degree or above in Financial Mathematics, Data Science, Statistics, Finance, Computer Science, Economics, or related disciplines
  2. Experience in model-related activities such as development, implementation, application or validation of varying models in financial services industry is preferred
  3. Proficiency in technical tools such as Python, SAS
  4. Relevant qualification in ACAMS, ECF (AML/CFT) Core Level is preferred
  5. Candidates with IT Audit Experience are also considered
  6. Strong problem-solving ability with passion for analytic excellence
  7. Able to work independently and under pressure
  8. Good command of written and spoken English and Chinese
  9. Familiar with Chinese and English word processing

 

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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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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