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- Model Development: Design and develop AI/ML models for transaction monitoring, focusing on anomaly detection and risk scoring.
- Data Analysis: Analyze large datasets to identify trends, patterns, and potential risks associated with financial transactions.
- System Optimization: Continuously improve the performance of monitoring systems by tuning models, refining algorithms, and integrating new data sources.
- Regulatory Compliance: Ensure that transaction monitoring processes meet all regulatory requirements and industry standards, including AML/KYC.
- Collaboration: Work closely with cross-functional teams, including compliance, IT, and risk management, to align monitoring strategies with business objectives.
- Reporting and Documentation: Prepare detailed documentation of model development processes, performance metrics, and compliance efforts.
- Training and Support: Provide training and support to team members on transaction monitoring tools and AI/ML methodologies.
- Research: Stay updated on industry trends, emerging technologies, and best practices in transaction monitoring and AI/ML.
- Experience: 3+ years of experience in transaction monitoring, fraud detection, or financial crime risk management, with a strong focus on AI/ML applications.
- Technical Skills: Proficiency in programming languages (e.g., Python, R), experience with machine learning frameworks (e.g., TensorFlow, Scikit-learn), and familiarity with data visualization tools.
- Certifications: Relevant certifications (e.g., CAMS, CFE) are a plus.
Unison Consulting Singapore, Singapore, SGP Office
Singapore, Singapore
What you need to know about the Singapore Tech Scene
The digital revolution has driven a constant demand for tech professionals across industries like software development, data analytics and cybersecurity. In Singapore, one of the largest cities in Southeast Asia, the demand for tech talent is so high that the government continues to invest millions into programs designed to develop a talent pipeline directly from universities while also scaling efforts in pre-employment training and mid-career upskilling to expand and elevate its workforce.
