Job Details
AML Quantitative Data Analytics and Strategy Manager
- Kuala Lumpur
- Full Time
- February 1, 2024
Why Should You Apply For The Job
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1. Work in fast growing multi-national company with strong presence in Malaysia
2. Great career exposure and development.
3. Good remuneration
Job Description
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1. Responsible for building up transaction monitoring surveillance system and customer risk rating models, implement in-time assessment on AML models to guarantee performance.
2. Responsible for the innovative research and design on AML monitoring framework, utilize quantitative analytics and data techniques in a scientific way to improve the effectiveness of AML system.
3. Responsible for developing engine of automatic AML detection threshold tuning so as to guarantee quick reaction to continuous risk changes.
4. Provide quantitative analytics support to the compliance officers in regulatory visits and enquiries.
5. Work together with Product & Technology team to improve model effectiveness and extend AML defense line through applying AI and ML, meanwhile achieving commercialization.
6. Responsible for the development, testing and operation and maintenance of the risk model; based on the big data of the whole ant, mine the 360-degree characteristics of customers, and make innovations in customer identification, such as mining fund sources based on complex networks and mining user behaviour based on time series Preferences, etc., and apply the results to abnormal transaction identification and customer risk classification;
7. Responsible for the governance of anti-money laundering-related risks, formulate identification/disposal strategies; study the financial behaviours of hundreds of millions of Ant Financial users every day, and dig out abnormal financial behaviours, such as credit card cash, illegal fund-raising, drugs, gambling, fraud, etc.
8. Through the experience of risk management, gain insight into data problems, and design a complete suspicious transaction control plan.
3. Responsible for developing engine of automatic AML detection threshold tuning so as to guarantee quick reaction to continuous risk changes.
4. Provide quantitative analytics support to the compliance officers in regulatory visits and enquiries.
5. Work together with Product & Technology team to improve model effectiveness and extend AML defense line through applying AI and ML, meanwhile achieving commercialization.
6. Responsible for the development, testing and operation and maintenance of the risk model; based on the big data of the whole ant, mine the 360-degree characteristics of customers, and make innovations in customer identification, such as mining fund sources based on complex networks and mining user behaviour based on time series Preferences, etc., and apply the results to abnormal transaction identification and customer risk classification;
7. Responsible for the governance of anti-money laundering-related risks, formulate identification/disposal strategies; study the financial behaviours of hundreds of millions of Ant Financial users every day, and dig out abnormal financial behaviours, such as credit card cash, illegal fund-raising, drugs, gambling, fraud, etc.
8. Through the experience of risk management, gain insight into data problems, and design a complete suspicious transaction control plan.
Requirements:
1. Bachelor degree or above majoring in computer science/engineering, statistics, Mathematics, finance and similar fields; Candidate with experience in AML risk modelling, parameter tuning/optimization and data analytics are preferred.
2. At least three years’ AML/risk control/fraud management working experience in FI, PI, consulting firms or similar industries; familiar with domestic and international AML regulatory requirements; have the basic concept of money laundering features, motions and patterns; Certified Anti-Money Laundering Specialist is a plus.
3. Proficient in data handling coding (e.g., SQL) and at least one professional analytics tool such as SAS, python etc. Experience in big data distributed processing is preferred, such as Hadoop, Spark, Flink and other framework experience.
4. Strong project management experience, good sense of teamwork, strong ability to withstand pressure, able to lead team members to achieve business goals;
5. Ability in logic thinking and problem solving; Ability to plan & work independently on required deliverables and deadlines; Ability in independently completing suspicious transaction analysis (a full cycle of identify the problem, determine root cause, recommend plans, implement solutions); Ability in writing risk/model assessment reports.
6. Good communication skills and teamwork spirits; Ability to work under pressure and result-oriented; Highly flexible and detail-oriented with the ability to multi-task and change directions based on business demands.
2. At least three years’ AML/risk control/fraud management working experience in FI, PI, consulting firms or similar industries; familiar with domestic and international AML regulatory requirements; have the basic concept of money laundering features, motions and patterns; Certified Anti-Money Laundering Specialist is a plus.
3. Proficient in data handling coding (e.g., SQL) and at least one professional analytics tool such as SAS, python etc. Experience in big data distributed processing is preferred, such as Hadoop, Spark, Flink and other framework experience.
4. Strong project management experience, good sense of teamwork, strong ability to withstand pressure, able to lead team members to achieve business goals;
5. Ability in logic thinking and problem solving; Ability to plan & work independently on required deliverables and deadlines; Ability in independently completing suspicious transaction analysis (a full cycle of identify the problem, determine root cause, recommend plans, implement solutions); Ability in writing risk/model assessment reports.
6. Good communication skills and teamwork spirits; Ability to work under pressure and result-oriented; Highly flexible and detail-oriented with the ability to multi-task and change directions based on business demands.
About The Company
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Our client is a world-renowned fintech company, a world-leading internet open platform with strong presence in APAC and the rest of the world.
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