(Senior) AML Manager, AI development and training

Full Description

Responsibility:

• Develop, train and deploy artificial intelligence and machine learning models to solve complex business challenges;

• Responsible for various data preprocessing activities including collection, cleansing and validation of large datasets, and transforming the data into format suitable for consumption by artificial intelligence and machine learning models;

• Conduct in-depth data analysis on large datasets, and apply statistical and machine learning algorithms for extracting meaning from data and identifying actionable insights;

• Continuously monitor model performance and iterate to improve performance and efficiency of models with a view to optimizing business function;

• Responsible for preparation and maintenance of documentations in relation to the model development throughout the model development lifecycle;

• Assist in building a compliance data warehouse and continuously expanding data scope according to the need of AML monitoring, optimizing database performance and improving data usage experience;

• Assist in management and maintenance of the compliance data warehouse, including formulating database management policy and procedure, developing and maintaining data dictionary, monitoring data quality and ensuring data security;

• Assist in data management within the department, including data accountability management, data governance, data quality and security, etc.;

• Collaborate closely with cross-functional teams and external parties including business stakeholders, inhouse IT and data scientist team and solution vendors;

• Research emerging artificial intelligence trends and models, and integrate the new techniques to enhance model capabilities

Requirements:

• Bachelor degree or above in Computer Science, Data Science, Financial Mathematics, Statistics, Finance, Economics, or related disciplines

• 3-5 years or above relevant experience in implementation of artificial intelligence and machine learning models; experience in Banking data management, analysis and application being an advantage (For Senior Manager, at least 8 years relevant experience)

• Proficiency in programming languages, including Python and R, and machine learning libraries

• Strong understanding of machine learning algorithms, deep learning and statistical methods

• Strong problem-solving ability with passion for analytic excellence, able to manage complex scenario challenges simultaneously and work independently and under pressure

• Experience in financial service industry or financial crime compliance domain, or possession of relevant qualification in CAMS, ECF (AML/CFT) Core Level, FRM, CPA, ACCA being an advantage

• Good command of written and spoken English and Chinese

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