AVP or VP Data Analyst (AML & Risk Analytics)

The Edge Partnership

Singapore

5-7 Years

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Posted 10 days ago
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Job Description

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 Analyst 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.

Please email your cv directly to [Confidential Information] 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

[HIDDEN TEXT]

Key responsibilities

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.

Role 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