The Data Scientist will develop AML detection models, analyze datasets for suspicious patterns, automate data pipelines, and prepare reports for stakeholders.
Job Title: Data Scientist – AML (Python / Vyntra / NetGuardians)Location: SingaporeExperience: 6–10 yearsJob Description:
We are looking for a highly skilled Data Scientist with strong experience in Anti-Money Laundering (AML) systems and expertise in Python to join our banking analytics team. The ideal candidate will have hands-on experience with Vyntra (formerly NetGuardians) for transaction monitoring and anomaly detection.
Key Responsibilities:- Develop, enhance, and maintain data models and machine learning algorithms for AML detection and financial crime prevention.
- Analyze large datasets from multiple sources to identify suspicious patterns and behavior.
- Work closely with AML compliance, business, and technology teams to fine-tune Vyntra/NetGuardians models.
- Implement and automate data pipelines and model deployment using Python-based frameworks.
- Evaluate and improve model performance through feature engineering, tuning, and retraining.
- Prepare analytical reports and dashboards for stakeholders highlighting insights and risk indicators.
- 6–10 years of experience in Data Science or AML analytics within the Banking/Financial Services domain.
- Strong proficiency in Python, Pandas, NumPy, Scikit-learn, and data visualization tools.
- Mandatory experience with Vyntra (formerly NetGuardians) platform for AML or fraud monitoring.
- Deep understanding of AML processes, KYC, transaction monitoring, and financial crime compliance.
- Experience working with large-scale structured and unstructured data sets.
- Familiarity with SQL, ETL, and data warehouse concepts.
- Excellent communication and stakeholder management skills.
- Exposure to cloud-based analytics platforms (Azure, AWS, or GCP).
- Experience integrating AML systems with other data sources or case management tools.
- Knowledge of model governance, explainability (XAI), and regulatory reporting standards.
Top Skills
AWS
Cloud-Based Analytics Platforms (Azure
Data Visualization Tools
ETL
Gcp)
Numpy
Pandas
Python
Scikit-Learn
SQL
Vyntra
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
Artificial Intelligence • Fintech • Payments • Business Intelligence • Financial Services • Generative AI
The Regulatory Compliance Manager will oversee compliance programs for Airwallex in the SEA region, manage licenses, and coordinate with regulators while ensuring adherence to financial laws and ethical standards.
Top Skills:
Data AnalyticsRegulatory ComplianceRisk Management
Artificial Intelligence • Fintech • Payments • Business Intelligence • Financial Services • Generative AI
The Senior IT Engineer will resolve technical challenges, manage identity systems like Okta, improve access controls, and optimize user lifecycles, while collaborating with various teams to scale operations globally.
Top Skills:
AWSGCPGoogle WorkspaceMdm SystemsOktaPythonTerraform
Artificial Intelligence • Fintech • Payments • Business Intelligence • Financial Services • Generative AI
The Senior Data Scientist will partner with various teams to drive insights, improve efficiency, and support forecasting efforts through advanced statistical methods and data products.
Top Skills:
AirflowDatabricksDbtPythonRSQL
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.
