
VP, Compliance Analytics and Insights
- Singapore
- Permanent
- Full-time
- Develop AFC model / automation narratives (e.g., purpose, logic, parameters, data requirements, output surfacing / structuring) in collaboration with the business and other relevant stakeholders.
- Work closely with other Data Scientist(s) and Business Analyst, and undertake the end-to-end AFC model development, including data wrangling, exploratory data analysis, feature selection, model selection, training, testing, etc.
- Conduct periodic tuning, testing and back-testing of monitoring of AFC models to ensure continued effectiveness.
- Liaise with Business Analyst to receive and understand business feedback on AFC model performance and incorporate feedback into models.
- Re-train and recalibrate existing AFC analytical models to prevent model drift periodically or as needed.
- Participate in the model governance process, including but not limited to model testing, assessing models for biases and for compliance with applicable ethics standards.
- Participate in user testing of new AFC analytics tools, models and systems upgrades for high priority tech projects.
- Collaborate with technology team to lead the transformation of AFC Core Engine systems/ platforms to be future ready via adoption of AI/ML capabilities.
- 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 7-10 years in the financial services industry, including hands-on experience with AML systems and compliance, as well as at least 3 years in a project management or PMO role.
- 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: Practical knowledge of automation tools like Robotic Process Automation (RPA) and familiarity with advanced analytics for AFC applications are advantageous.