SVP, Analytics

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

Job Description

'- Data Scientist with  Subject Matter Expertise in AML Risks, Financial Crime Risk (FCR) Analytics to support data-driven & holistic AML risk management-

- Manage, build and deliver analytical solutions including dashboards and advanced models to help businesses track various effectiveness and AML risk metrics:

- Develop predictive or analytical models using advanced modelling methods to capture emerging business risk and act as model owner to implement the model and maintain model performance

- Perform data mining on both structured and unstructured data to identify emerging new risk trends and typologies, which ultimately leads into delivering end-to-end analytical solutions from requirements gathering, POC, implementation and maintenance

- Develop dashboard or visualization for tracking and monitoring of trends and model outputs

- Manage business intelligence tool / dashboard (e.g. PowerBI, Qliksense)

- Collaborate with relevant units to align analytics initiatives with regulatory requirements and business priorities.

- Assist in the automation solution to streamline manual AML processes using tools such as Python, SQL or SAS.

- Support data management / data engineer activities related to Retail's AML database e.g. prepare data from EDAG to playpen/cubes, and ultimately for consumption to product analytical solutions

Job specification

'- Bachelor's or Master's degree in Data Analytics, Finance, Statistics, Computer Science, Law, or related fields.

- 5–12 years of experience in AML, financial crime analytics, or data-driven compliance functions.

- Experience working with large datasets and applying analytics to detect suspicious patterns or behaviors.

- Prior experience in financial institutions or regulated industries is strongly preferred.

- Strong proficiency in data analysis tools such as SAS, SQL, Python, R, SAS, or equivalent.

- Experience with AML transaction monitoring systems, customer segmentation models, and risk scoring engines.

- Ability to interpret complex customer data, including Source of Wealth (SoW), Source of Funds (SoF), and transactional behavior.

- Familiarity with machine learning or statistical modeling techniques used in financial crime detection is a plus.

- Solid understanding of AML regulations, FATF recommendations, and local regulatory requirements (e.g., AMLO, BOT).

- Ability to translate regulatory expectations into data-driven controls and monitoring strategies.

- Experience in preparing reports and dashboards for regulatory reviews, internal audits, and senior management.

- Proficient in English communication

Additional Requirements

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.

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