About the Role
We're looking for a hands-on Data Scientist to work on payments and AML (Anti-Money Laundering) use cases within a regulated environment.
You'll focus on applied data science - analysing transactional data, building models, and uncovering risk patterns that support real-world decision making.
What You'll Do
- Analyse payments and transactional datasets to identify anomalies and risk signals
- Build Python-based models and analytical scripts
- Perform data cleaning, preparation, and exploratory data analysis (EDA)
- Translate business and compliance requirements into data-driven insights
- Work closely with risk, compliance, and business stakeholders
- Present findings in a clear and actionable manner
What We're Looking For
- Up to 5 years experience in Data Science or Analytics roles
- Strong Python programming skills (mandatory)
- Solid foundation in statistics and data analysis
- Experience working with structured or transactional datasets
- Ability to work on open-ended problem statements
Nice to Have
- Experience in AML, fraud, payments, or risk analytics
- Background in banking, fintech, or regulated environments
- Exposure to anomaly detection or classification models
Additional Requirements
- Singapore Citizen or PR only (client requirement)
- Available to start within 2 to 3 weeks
Why This Role
- Work on high-impact financial crime and AML use cases
- Exposure to real production data in regulated environments
- Collaborate directly with business and risk teams
