(Senior) AML Manager, AI development at Bank of China (Hong Kong) Limited

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Full Time

Start Date

Immediate

Expiry Date

21 Jul, 26

Salary

0.0

Posted On

22 Apr, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, R, Machine Learning, Deep Learning, Data Analysis, Data Preprocessing, Statistical Methods, AML Monitoring, Data Governance, Data Quality, Database Management, Compliance, Financial Crime Compliance, Model Development, Data Warehouse

Industry

Banking

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 #LI-CT1

Responsibilities

Develop, train, and deploy artificial intelligence and machine learning models to address complex business challenges and optimize AML monitoring. Manage compliance data warehouse operations, including data governance, quality assurance, and cross-functional collaboration with IT and stakeholders.