The Transaction Monitoring Engine Specialist will focus on developing AI/ML models for transaction monitoring, analyzing data to identify financial risks, optimizing monitoring systems, ensuring compliance with regulatory standards, collaborating with teams, and providing training on AI/ML methods.
- 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.
Top Skills
Python
R
Unison Consulting Singapore Office
1 Changi Business Park Crescent, , Plaza 8 #03-06 Tower A, Singapore, , Singapore, 486025
Unison Consulting Singapore Office
#12-00, 63 Market Street, Bank of Singapore Center, Singapore, , Singapore, 048942
Similar Jobs
Be an Early Applicant
As a Quantitative Researcher at Citadel's Global Quantitative Strategies, you will conduct advanced research utilizing mathematical, statistical, and computational methods to develop predictive models and optimize multi-asset portfolios. The role demands a strong background in data analysis and a passion for financial markets to drive impactful research solutions.
Be an Early Applicant
As a Trading Strategist Analyst at J.P. Morgan, you will analyze data to uncover revenue opportunities, develop models for trading problems, back test trading strategies, assess trading performance, and improve trading software. You will work closely with the trading desk to drive revenue in commodities markets.
Be an Early Applicant
As a Senior Machine Learning Engineer, you will collaborate with engineers and product teams to design and implement machine learning models, ensuring high-quality code and addressing business challenges through innovative solutions. Responsibilities include developing data pipelines and tracking emerging technologies.
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.
