SVP AML Analytics

TITLE: Senior Vice President, Analytics and Automation - Head of Advance Modelling Analytics, Group Compliance
ROLE PROFILE: Model Developer with Subject Matter Expertise in Financial Crime Risks encompass Anti Money Laundering / Sanctions, FCC ANALYTICS
United Overseas Bank Limited is seeking an experienced and highly motivated individual to lead our Advance Modelling Analytics team within the Group Compliance department. The ideal candidate will have a strong background in data analysis, risk management, and financial services, with a focus on Anti Money Laundering (AML) and Sanctions detection and prevention.
Responsibilities:

• Develop, implement, and maintain a comprehensive AML / Sanctions analytics strategy to identify, assess, and mitigate financial crime risks across the organization.
• Lead and manage design, develop, test and operationalise detection models, rules, algorithms and dashboards to enhance the bank's AML / Sanctions prevention capabilities.
• Lead and manage the Advance Modelling Analytics team, providing guidance, mentoring, and support to ensure the team's success.
• Oversee the monitoring, analysis, and reporting of AML / Sanctions related data to drive continuous improvement in detection and prevention efforts.
• Collaborate with various internal and external stakeholders to identify, evaluate and monitor emerging AML / Sanctions trends and risks.
• Develop and implement model development policies, procedures, and controls.
• Assist in compliance with applicable laws, regulations, and industry good practices related to AML / Sanctions prevention and detection by leveraging advanced data analytics techniques and solutions.
• Continuously evaluate the effectiveness of the AML / Sanctions analytics program and recommend improvements as needed.

Requirements:

• Bachelor's degree in Data Science, Statistics, Finance, or a related field; a Master's degree or relevant professional certifications are a plus.
• Minimum of 12 years of experience in the financial services industry, with at least 8 years in a AML / Sanctions analytics or risk management role. Prior experience in Anti-Fraud domain is a plus.
• Proven experience in developing and implementing AML / Sanctions analytics strategies and solutions.
• Able to instill strong Model Governance throughout the model development cycle.
• Strong project management skills with experience in leading large projects and establishing new operating models.
• Strong knowledge of financial services regulations, industry best practices, and emerging AML / Sanctions trends.
• Excellent analytical, problem-solving, and decision-making skills.
• Proficiency in data analysis tools and software, such as SQL, R, Python, SAS or Network Link Analysis.
• Experience with big data analytics tools and frameworks, including Hive, Spark, and Impala.
• Experience with handling automation software and tools as well as data architecture and landscape
• Demonstrated leadership and team management abilities.
• Excellent communication and interpersonal skills, with the ability to collaborate effectively across various business units and functions.