Our client, a well- established financial solutions provider with a presence in APAC is expanding their business in APAC and is looking for a AVP or VP - Data Scientist (AML Risk Analytics) to join them.
Purpose of the role
The candidate will be a data-driven professional to help strengthen the company's global Anti-Money Laundering (AML) framework. In this role, you will collaborate closely with compliance, strategy, and technical teams to enhance the accuracy of our AML data and support smarter, model-driven risk decisions across the business.
Accountabilities:
- Responsible for the governance of underlying Anti-Money Laundering data to ensure the accuracy and completeness of data used by strategies, models, and systems.
- Drive the identification and management of Anti-Money Laundering risks using data-driven methods, assisting compliance officers in formulating effective risk-control plans.
- Support site compliance teams in responding to regular or ad-hoc internal and external regulatory inspections, including regulatory reporting and data support.
- Collaborate with technical and algorithm teams to enhance efficiency in quantitative AML strategy and improve manual review efficiency through model-driven methods.
Skills/ Requirements:
- Bachelor's degree or above in relevant fields such as statistics, mathematics, computer science, etc.
- At least 5 years of experience in big-data risk-control analysis and modeling, preferably in industries such as banking, third-party payment institutions, or fintech, with a preference for AML experience.
- Proficient in SQL data processing and skilled in at least one professional analysis tool, such as SAS, Python, R, etc.
- Strong project-management experience, good team collaboration skills, and ability to work under pressure.
- Fluent in English (listening, speaking, reading, and writing); proficiency in Chinese communication is a bonus, to liaise with colleagues based in North Asia
Please email your cv directly to [Confidential Information] in word format with job reference no. JOB - 15994 to [HIDDEN TEXT]
Please note that due to the high number of applications only shortlisted candidates will be contacted. If you do not hear from us in the next 5 business days, we regret to inform you that your application for this position was unsuccessful.
EA Licence: 16S8131
Recruiter Licence: R22104669
