SVP, Anti-Money Laundering Data Analytics

2 days ago

Bangkok, Bangkok, Thailand UOB Full time

About UOB
United Overseas Bank Limited (UOB) is a leading bank in Asia with a global network of more than 500 branches and offices in 19 countries and territories in Asia Pacific, Europe and North America. In Asia, we operate through our head office in Singapore and banking subsidiaries in China, Indonesia, Malaysia and Thailand, as well as branches and offices. Our history spans more than 80 years. Over this time, we have been guided by our values – Honorable, Enterprising, United and Committed. This means we always strive to do what is right, build for the future, work as one team and pursue long-term success. It is how we work, consistently, be it towards the company, our colleagues or our customers.

Job Description
Data Scientist with subject matter expertise in Anti-Money Laundering (AML) risks and Financial Crime Risk (FCR) analytics. This role supports data-driven and holistic AML risk management through advanced analytics, modeling, and automation.

Key Responsibilities

  • Manage, build and deliver analytical solutions including dashboards and predictive models to track AML risk metrics.
  • Develop and maintain advanced models to capture emerging business risks.
  • Perform data mining on structured and unstructured data to identify new risk trends and typologies.
  • Deliver end-to-end analytical solutions from requirements gathering to implementation and maintenance.
  • Create dashboards and visualizations to monitor trends and model outputs.
  • Manage business intelligence tools (e.g., Power BI, Qlik Sense).
  • Collaborate with cross-functional teams to align analytics with regulatory and business priorities.
  • Automate manual AML processes using Python, SQL, or SAS.
  • Support data engineering tasks related to AML databases (e.g., preparing data from EDAG to playpen/cubes).

Qualifications

  • Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or a related field.
  • Minimum 12 years of experience in data analytics or data science, preferably in financial services or risk management.
  • Strong understanding of AML and financial crime risk concepts.
  • Proficiency in Python, SQL, SAS, and data visualization tools (Power BI, Qlik Sense).
  • Experience in building predictive models and working with large datasets.
  • Knowledge of data engineering and ETL processes.
  • Strong problem-solving and communication skills.
  • Familiarity with regulatory requirements in financial services is a plus.
  • Well command in Thai & English (spoken & written)

Remark: The Bank requires the checking and collection of criminal records for candidates of this position in order to verify qualifications and/or disqualifications for the job position in accordance with the Bank's policy.
Additional Requirements
Develop, Engage, Execute, Strategise

Be a Part of the UOB Family

UOB is an equal opportunity employer. UOB does not discriminate on the basis of a candidate's age, race, gender, color, religion, sexual orientation, physical or mental disability, or other non-merit factors. All employment decisions at UOB are based on business needs, job requirements and qualifications. If you require any assistance or accommodations to be made for the recruitment process, please inform us when you submit your online application.

Apply now and make a Difference

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