VP, Compliance Analytics & Insights, Group Compliance - United Overseas Bank

United Overseas Bank Limited (UOB); Singapore; On-site; SGD 80,000 - 100,000; Full time

Job summary

A leading bank in Asia is looking for a professional to assist in the development of AI and Machine Learning models aimed at mitigating financial crime risks. The candidate should have a Bachelor's degree and at least 6-8 years of experience in the financial sector, particularly focused on anti-financial crime analytics. Strong analytical skills and proficiency in SQL, R, or Python are essential. Apply now to join a dynamic team in Singapore.

Qualifications

• Minimum of 6-8 years in the financial services industry, specifically in AFC/sanctions analytics.
• Proficient in data analysis tools such as SQL, R, Python, SAS.
• In-depth understanding of AML/CFT regulations and transaction monitoring systems.

Responsibilities

• Assist in developing AI and ML models for financial crime risk mitigation.
• Build predictive models and conduct blockchain analytics.
• Analyze data to identify anomalies indicative of financial crime.
• Enhance existing monitoring systems to improve detection efficiency.

Skills

Analytical skills

Data analysis

Compliance knowledge

Communication skills

Problem-solving

Education

Bachelor's degree in Data Science, Statistics, Finance, Business Administration, or Computer Science

Tools

SQL

R

Python

SAS

Network Link Analysis

Hive

Spark

Impala

Job description

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

Responsibilities

• Assist the Team Lead in the development, implementation, and maintenance of next-generation Artificial Intelligence (AI) and Machine Learning (ML) AFC related models to mitigate financial crime risks using advanced analytics across the organization.
• Build and maintain predictive models, blockchain analytics, generative AI models, AI-driven behavioral analytics to identify financial crime risks.
• Develop model narratives (e.g., purpose, logic, parameters, data requirements, output surfacing / structuring) in collaboration with the business and other relevant stakeholders.
• Analyse transactional data to identify anomalies and patterns indicative of financial crime.
• Support the enhancement of existing monitoring systems and tools to improve detection efficiency and reduce false positives for the AFC surveillance models.

Experiences / Qualifications

• Education: Bachelor's degree in Data Science, Statistics, Finance, Business Administration, Computer Science, or a related field; Relevant professional certifications in AML, compliance, or data science is a plus.
• Experience: Minimum of 6-8 years in the financial services industry, including hands‑on experience with AFC / sanctions analytics and compliance role. Proficiency in data analysis tools and software, such as SQL, R, Python, SAS or Network Link Analysis.
• Analytical Skills: Strong analytical, problem‑solving, with the ability to think strategically and make data‑driven decisions.
• AI/ML Knowledge: An understanding of AI/ML applications in compliance is a plus but not required.
• AML Knowledge: In‑depth understanding of AML/CFT regulations, transaction monitoring systems, and anti‑financial crime compliance best practices.
• Communication and Collaboration: Exceptional interpersonal and communication skills, with the ability to work across multiple departments and to drive discussions, manage and influence senior stakeholders.
• Soft Skills: Agile, inquisitive, self‑driven, and capable of adapting to dynamic environments. Strong focus on integrity and meticulous attention to detail.
• Additional Preferences: Experience with big data analytics tools and frameworks, including Hive, Spark, and Impala, as well as Big data architecture and automation software tools.

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.

Apply now and make a Difference