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Information Technology • Software • Financial Services
As a Quantitative Researcher, you will develop and enhance trading models, conduct statistical research, and drive innovation in automated trading strategies.
Top Skills:
Machine LearningMathematical ModelingNatural Language ProcessingPattern RecognitionStatistical TechniquesTime-Series Analysis
Information Technology • Software • Financial Services
As a Quantitative Researcher Intern, you'll develop trading models, conduct statistical analysis, and translate mathematical algorithms into code while collaborating with senior researchers.
Top Skills:
C++PythonR
Information Technology • Software • Financial Services
The Quantitative Research Analyst designs and tests automated trading strategies using statistical models and conducts research to enhance trading systems.
Top Skills:
Machine LearningNlpPattern RecognitionStatistical TechniquesTime-Series Analysis
- 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 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
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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.
