Chief Analytics Officer
3 days ago
We are seeking an experienced Chief Analytics Officer to lead our Advance Modelling Analytics team within the Group Compliance department at United Overseas Bank Limited. 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.
About the Role
The successful candidate will be responsible for developing, implementing, and maintaining a comprehensive AML/Sanctions analytics strategy to identify, assess, and mitigate financial crime risks across the organization. This includes leading and managing the design, development, testing, and operationalization of detection models, rules, algorithms, and dashboards to enhance the bank's AML/Sanctions prevention capabilities.
This is a senior leadership role that requires excellent analytical, problem-solving, and decision-making skills. The individual will also be expected to oversee the monitoring, analysis, and reporting of AML/Sanctions related data to drive continuous improvement in detection and prevention efforts.
Key Responsibilities
- Develop and implement AML/Sanctions analytics strategies to identify and mitigate financial crime risks.
- Lead and manage the design, development, testing, and operationalization of detection models, rules, algorithms, and dashboards.
- Oversee the monitoring, analysis, and reporting of AML/Sanctions related data.
- Collaborate with internal and external stakeholders to identify and evaluate emerging AML/Sanctions trends and risks.
Requirements
To be successful in this role, you will need:
- A Bachelor's degree in Data Science, Statistics, Finance, or a related field, with a Master's degree or relevant professional certifications highly desirable.
- Minimum 12 years of experience in the financial services industry, with at least 8 years in a AML/Sanctions analytics or risk management role.
- 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.
- Excellent knowledge of financial services regulations, industry best practices, and emerging AML/Sanctions trends.
- 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.
Compensation and Benefits
We offer a competitive salary range of $250,000 to $350,000 per annum, commensurate with experience, plus benefits including health insurance, retirement plan, and paid time off. If you are a motivated and experienced professional looking for a challenging role in a dynamic and growing organization, please submit your application.
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